diff --git "a/demo_feature_dashboards.html" "b/demo_feature_dashboards.html"
new file mode 100644--- /dev/null
+++ "b/demo_feature_dashboards.html"
@@ -0,0 +1,976 @@
+
+<div id='dropdown-container'></div>
+
+<div class='grid-container'>
+        <div id='column-0' class="grid-column" style='max-height: 750px; '>
+        <!-- Feature Info Tables -->
+        <div class="feature-tables" id="feature-tables-0"></div></div>
+    
+    <div id='column-1' class="grid-column" style='max-height: 750px; '>
+        <!-- Activation densities histogram -->
+        <div class="plotly-hist" id="histogram-acts-0" style="height: 150px; margin-top: 0px;"></div>
+        <!-- Logits table -->
+        <div class="logits-table" id="logits-table-0"></div>
+        <!-- Logits histogram -->
+        <div class="plotly-hist" id="histogram-logits-0" style="height: 150px; margin-top: 0px;"></div></div>
+    
+    <div id='column-2-0' class="grid-column" style='max-height: 750px; '>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-0"></div></div>
+    
+    <div id='column-2-1' class="grid-column" style='max-height: 750px; '>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-1"></div>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-2"></div>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-3"></div></div>
+    
+    <div id='column-2-2' class="grid-column" style='max-height: 750px; '>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-4"></div>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-5"></div>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-6"></div></div>
+    
+    <div id='column-2-3' class="grid-column" style='max-height: 750px; '>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-7"></div>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-8"></div>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-9"></div></div>
+    
+    <div id='column-2-4' class="grid-column" style='max-height: 750px; '>
+        <!-- Sequence group -->
+        <div class="seq-group" id="seq-group-2-10"></div></div>
+</div>
+
+<style>
+/* Styling of the top-level container */
+.grid-container {
+    font-family: 'system-ui';
+    border: 1px solid #e6e6e6;
+    background-color: #fff;
+    margin: 30px 10px;
+    box-shadow: 0 5px 5px rgba(0, 0, 0, 0.25);
+    display: grid;
+    justify-content: start;
+    grid-template-columns: auto;
+    overflow-x: auto;
+    overflow-y: visible;
+    grid-auto-flow: column;
+    white-space: nowrap;
+    padding-bottom: 12px;
+    padding-top: 35px;
+    padding-left: 20px;
+}
+/* Styling each grid column (note, the max-height controls height of grid-container) */
+.grid-column {
+    margin-left: 20px;
+    padding-right: 20px;
+    width: max-content;
+    overflow-y: auto;
+    max-height: 750px;
+}
+/* Styling the scrollbars */
+::-webkit-scrollbar {
+    height: 10px;
+    width: 10px;
+}
+::-webkit-scrollbar-track {
+    background: #f1f1f1;
+}
+::-webkit-scrollbar-thumb {
+    background: #999;
+}
+::-webkit-scrollbar-thumb:hover {
+    background: #555;
+}
+/* Margin at the bottom of each histogram */
+.plotly-hist {
+    margin-bottom: 25px;
+}
+/* Margins below the titles (most subtitles are h4, except for the prompt-centric view which has h2 titles) */
+h4 {
+    margin-top: 0px;
+    margin-bottom: 10px;
+}
+/* Some space below the <hr> line in prompt-centric vis */
+hr {
+    margin-bottom: 35px;
+}
+/* Default font & appearance for the words in the sequence, before being hovered over */
+code {
+    font-family: Consolas, Menlo, Monaco;
+}
+/* Margin at the bottom of every sequence group, plus handle how overflow works (maybe not necessary) */
+.seq-group {
+    overflow-x: auto;
+    overflow-y: visible;
+    padding-top: 5px;
+    padding-bottom: 10px;
+    margin-bottom: 10px;
+}
+/* Margin between single sequences */
+.seq {
+    margin-bottom: 11px;
+}
+/* Styling for each token in a sequence */
+.token {
+    font-family: Consolas, Menlo, Monaco;
+    font-size: 0.9em;
+    border-top-left-radius: 3px;
+    border-top-right-radius: 3px;
+    padding: 1px;
+    color: black;
+    display: inline;
+    white-space: pre-wrap;
+}
+/* All the messy hovering stuff! */
+.hover-text {
+    position: relative;
+    cursor: pointer;
+    display: inline-block; /* Needed to contain the tooltip */
+    box-sizing: border-box;
+}
+.tooltip {
+    background-color: #fff;
+    color: #333;
+    text-align: center;
+    border-radius: 10px;
+    padding: 5px;
+    box-shadow: 0 4px 8px rgba(0, 0, 0, 0.25);
+    align-items: center;
+    justify-content: center;
+    overflow: hidden;
+    font-family: 'system-ui';
+    font-size: 1.1em;
+    display: none;
+    position: fixed;
+    z-index: 1000;
+}
+.token:hover {
+    border-top: 3px solid black;
+}
+.tooltip-container {
+    position: absolute;
+    pointer-events: none;
+}
+.hover-text:hover + .tooltip-container .tooltip {
+    display: block;
+}
+
+
+table {
+    border: unset;
+    color: black;
+    border-collapse: collapse;
+    width: -moz-fit-content;
+    width: -webkit-fit-content;
+    width: fit-content;
+    margin-left: auto;
+    margin-right: auto;
+    font-size: 0.8em;
+}
+table.table-left tr {
+    border-bottom: 1px solid #eee;
+    padding: 15px;
+}
+table.table-left td {
+    padding: 3px 4px;
+}
+table.table-left {
+    width: 100%;
+}
+table.table-left td.left-aligned {
+    max-width: 120px;
+    overflow-x: hidden;
+}
+td {
+    border: none;
+    padding: 2px 4px;
+    white-space: nowrap;
+}
+.right-aligned {
+    text-align: right;
+}
+.left-aligned {
+    text-align: left;
+}
+.center-aligned {
+    text-align: center;
+    padding-bottom: 8px;
+}
+table code {
+    background-color: #ddd;
+    padding: 2px;
+    border-radius: 3px;
+}
+.table-container {
+    width: 100%;
+}
+.half-width-container {
+    display: flex;
+}
+.half-width {
+    width: 50%;
+    margin-right: -4px;
+}
+
+/* Feature tables should have space below them, also they should have a min column width */
+div.feature-tables table {
+    margin-bottom: 25px;
+    min-width: 250px;
+}
+/* Configure logits table container (i.e. the thing containing the smaller and larger tables) */
+div.logits-table {
+    min-width: 375px;
+    display: flex;
+    overflow-x: hidden;
+    margin-bottom: 20px;
+}
+/* Code is always bold in this table (this is just the neg/pos string tokens) */
+div.logits-table code {
+    font-weight: bold;
+}
+/* Set width of the tables inside the container (so they can stack horizontally), also put a gap between them */
+div.logits-table > div.positive {
+    width: 47%;
+}
+div.logits-table > div.negative {
+    width: 47%;
+    margin-right: 5%;
+}
+
+
+/* Styling of the dropdowns */
+select {
+    appearance: none;
+    border: 0;
+    flex: 1;
+    padding: 0 1em;
+    background-color: #eee;
+    cursor: pointer;
+}
+.select {
+    box-shadow: 0 5px 5px rgba(0, 0, 0, 0.25);
+    cursor: pointer;
+    display: flex;
+    width: 100px;
+    height: 25px;
+    border-radius: .25em;
+    overflow: hidden;
+    position: relative;
+    margin-right: 15px;
+}
+.select::after {
+    position: absolute;
+    content: '\25BC';
+    font-size: 9px;
+    top: 0;
+    right: 0;
+    padding: 1em;
+    background-color: #ddd;
+    transition: .25s all ease;
+    pointer-events: none;
+}
+.select:hover::after {
+    color: black;
+}
+#dropdown-container {
+    margin-left: 10px;
+    margin-top: 20px;
+    display: flex;
+    flex-wrap: wrap;
+}
+</style>
+
+<script src="https://d3js.org/d3.v6.min.js"></script>
+<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+
+<script>
+
+document.addEventListener("DOMContentLoaded", function(event) {
+    const ALL_DATA = defineData();
+    setupPage(ALL_DATA['DASHBOARD_DATA'], ALL_DATA['AGGDATA']);
+});
+
+function setupPage(DASHBOARD_DATA, AGGDATA) {
+    // Dynamically creates dropdowns from the data (by parsing its keys), and causes `createVis` to be called whenever
+    // the dropdowns change. This includes the initial call to `createVis` with the first key, which is START_KEY.
+
+    const START_KEY = "0";
+        // The start key has already been user-defined, we need to check it's present in DASHBOARD_DATA
+    if (!Object.keys(DASHBOARD_DATA).includes(START_KEY)) {
+        console.error(`No data available for key: ${START_KEY}`);
+    }
+    const startParts = START_KEY.split('|');
+    
+    // Function which will measure the width of a key (used for dynamically setting the width of our dropdowns)
+    function measureTextWidth(text, font) {
+        // Create a temporary span element
+        const span = document.createElement("span");
+        span.style.visibility = "hidden"; // Make sure it's not visible
+        span.style.position = "absolute"; // Take it out of document flow
+        span.style.font = font; // Apply font styling similar to the select options
+        span.textContent = text;
+        document.body.appendChild(span);
+        const width = span.offsetWidth; // Get the width of the span
+        document.body.removeChild(span); // Remove the span from the body
+        return width;
+    }
+    
+    // Check if there's only one key, in which case we have no selection to make
+    if (Object.keys(DASHBOARD_DATA).length === 1) {
+    
+        const onlyKey = Object.keys(DASHBOARD_DATA)[0];
+        createVis(DASHBOARD_DATA[onlyKey]);
+    
+    } else {
+    
+        // Assuming `DASHBOARD_DATA` is available and d3 has been included
+        const parsedKeys = Object.keys(DASHBOARD_DATA).map(key => key.split("|"));
+    
+        // Determine `n` - the number of dropdowns needed
+        const n = parsedKeys[0].length;
+    
+        // Create a structure to store options for each dropdown
+        const options = Array.from({ length: n }, () => new Set());
+    
+        // Populate options for each dropdown
+        parsedKeys.forEach(parts => {
+            parts.forEach((part, index) => options[index].add(part));
+        });
+    
+        // Select the container for the dropdowns
+        const container = d3.select('#dropdown-container');
+    
+        // Create the dropdowns
+        options.forEach((opts, i) => {
+            // We wrap each `select` element in a `.select` div, for styling reasons)
+            const selectDiv = container.append('div').attr('class', 'select');
+            const selectElem = selectDiv.append('select').attr('id', `select-${i}`);
+            let maxWidth = 0;
+    
+            // Set the title of this dropdown
+            
+    
+            opts.forEach(opt => {
+                // Add this as an option
+                const optionElem = selectElem.append('option').text(opt).attr('value', opt);
+    
+                // If it matches the start key, set it to true
+                if (startParts[i] === opt) {
+                    optionElem.attr('selected', true);
+                }
+    
+                // Calculate the width of this option, and possibly update the max width (for the select div)
+                const width = measureTextWidth(opt, "1em system-ui");
+                if (width > maxWidth) {
+                    maxWidth = width;
+                }
+            });
+    
+            // Set the width of the select div to the max width + 45px (for the dropdown arrow)
+            selectDiv.style('width', `${maxWidth + 45}px`);
+    
+            // Add event listener to update the visualization (and the selection options) when the dropdown changes
+            selectElem.on('change', function() {
+                updateDropdowns();
+            });
+        });
+    
+        // This gets called every time the dropdowns are updated
+        function updateDropdowns() {
+    
+            // Empty all grid-column elements
+            d3.selectAll(".grid-column").each(function() {
+                d3.select(this).selectAll("*").html(""); 
+            });
+    
+            // Get the current value of each dropdown
+            const currentSelections = options.map((_, i) => d3.select(`#select-${i}`).property('value'));
+    
+            // Disable options that are not available based on the current selections
+            options.forEach((opts, i) => {
+                const select = d3.select(`#select-${i}`);
+                select.selectAll('option').each(function() {
+                    const optionValue = d3.select(this).attr('value');
+                    const potentialKey = [...currentSelections.slice(0, i), optionValue, ...currentSelections.slice(i + 1)].join('|');
+                    d3.select(this).attr('disabled', !DASHBOARD_DATA.hasOwnProperty(potentialKey) ? true : null);
+                });
+            });
+    
+            // Parse these options into the key for our DASHBOARD_DATA object
+            const selectedKey = currentSelections.join('|');
+    
+            // Create vis using that data
+            createVis(DASHBOARD_DATA[selectedKey]);
+        }
+    
+        // Initial trigger
+        updateDropdowns();
+    }
+}
+
+function createVis(DATA) {
+    // Create the vis from the data (this is where all the JavaScript files in this repo get dumped into). The DATA
+    // object here will be DASHBOARD_DATA["8"] in the feature-centric vis, or DASHBOARD_DATA["act_quantile|'first' (6)"]
+    // in the prompt-centric vis).
+
+        // ! Using `DATA.actsHistogramData` to fill in the activations histogram
+    
+    function createActsLine(color, width, height) {
+        return {
+            type: 'line', line: {color: color, width: width},
+            x0: 0, x1: 0, xref: 'x',
+            y0: 0, y1: height, yref: 'paper',
+            visible: false,
+        }
+    }
+    
+    function createActsAnnotation() {
+        return {
+            text: '', showarrow: false,
+            x: 0, xref: 'x', 
+            y: 0.9, yref: 'paper',
+            xshift: 3, align: 'left', xanchor: 'left',
+            visible: false,
+        }
+    }
+    
+    function setupActsHistogram(histId, histData) {
+    
+        // Create layout. This has 2 lines with annotations, both initially set to invisible (first is for dynamic on-hover
+        // and second is for static, for the prompt-centric vis). We need to define them both so that when JavaScript alters
+        // 'shapes[0]' or 'shapes[1]' we get no error
+        var layout = {
+            paper_bgcolor: 'white',
+            plot_bgcolor: 'white',
+            xaxis: {
+                gridcolor: '#eee',
+                zerolinecolor: '#eee',
+                tickvals: histData.ticks,
+                range: [0, 1.2 * Math.max(...histData.x)],
+            },
+            yaxis: {gridcolor: '#eee', zerolinecolor: '#eee'},
+            barmode: 'relative',
+            bargap: 0.01,
+            showlegend: false,
+            margin: {l: 50, r: 25, b: 25, t: 25, pad: 4},
+            paper_bgcolor: 'rgba(0,0,0,0)',
+            plot_bgcolor: 'rgba(0,0,0,0)',
+            responsive: true,
+            shapes: [createActsLine('black', 2, 1.0), createActsLine('black', 1, 0.9)],
+            annotations: [createActsAnnotation(), createActsAnnotation()],
+        };
+    
+        // Create traces (this is simple)
+        var traces = [{
+            x: histData.x,
+            y: histData.y,
+            type: 'bar',
+            marker: {color: histData.colors},
+        }];
+    
+        // Plot the histogram
+        Plotly.newPlot(histId, traces, layout, {responsive: true, displayModeBar: false});
+    
+        // Maybe add title (if the title already existed then we update it, otherwise we create a new one)
+        if(histData.title) {
+            var histogramElement = document.getElementById(histId);
+            var existingTitleElement = histogramElement.previousSibling;
+            if (existingTitleElement && existingTitleElement.tagName === 'H4') {
+                existingTitleElement.innerHTML = histData.title;
+            } else {
+                var titleElement = document.createElement('h4');
+                titleElement.innerHTML = histData.title;
+                histogramElement.parentNode.insertBefore(titleElement, histogramElement);
+            }
+        }
+    }
+    
+    // 'actsHistogramData' is a dictionary mapping suffixes to histogram data (to make each histogram unique)
+    // We iterate over it, and create a histogram for each one
+    Object.entries(DATA.actsHistogramData).forEach(([suffix, histData]) => {
+        var t0 = performance.now();
+    
+        histId = `histogram-acts-${suffix}`;
+        setupActsHistogram(histId, histData);
+    
+        var t1 = performance.now();
+        console.log(`HTML for ${histId} generated in ${(t1 - t0).toFixed(1)} ms`);
+    });
+    
+    
+    
+    
+    // ! Using `DATA.logitsHistogramData` to fill in the feature tables
+    
+    function createLogitsLine(color, width, height) {
+        return {
+            type: 'line', line: {color: color, width: width},
+            x0: 0, x1: 0, xref: 'x',
+            y0: 0, y1: height, yref: 'paper',
+            visible: false,
+        }
+    }
+    
+    function createLogitsAnnotation() {
+        return {
+            text: '', showarrow: false,
+            x: 0, xref: 'x', 
+            y: 0.9, yref: 'paper',
+            xshift: 3, align: 'left', xanchor: 'left',
+            visible: false,
+        }
+    }
+    
+    function setupLogitsHistogram(histId, histData) {
+    
+        // Create layout. This has 2 lines with annotations, both initially set to invisible (first is for dynamic on-hover
+        // and second is for static, for the prompt-centric vis). We need to define them both so that when JavaScript
+        // alters 'shapes[0]' or 'shapes[1]' we get no error
+        var layout = {
+            paper_bgcolor: 'white',
+            plot_bgcolor: 'white',
+            xaxis: {
+                gridcolor: '#eee',
+                zerolinecolor: '#eee',
+                tickvals: histData.ticks,
+                range: [1.2 * Math.min(...histData.x), 1.2 * Math.max(...histData.x)],
+            },
+            yaxis: {gridcolor: '#eee', zerolinecolor: '#eee'},
+            barmode: 'relative',
+            bargap: 0.01,
+            showlegend: false,
+            margin: {l: 50, r: 25, b: 25, t: 25, pad: 4},
+            paper_bgcolor: 'rgba(0,0,0,0)',
+            plot_bgcolor: 'rgba(0,0,0,0)',
+            responsive: true,
+            shapes: [createActsLine('black', 2, 1.0), createActsLine('black', 1, 0.9)],
+            annotations: [createLogitsAnnotation(), createLogitsAnnotation()],
+        };
+    
+        // Create traces. This is a bit messier than for acts_histogram_script.js, because we have 2 different colors
+        traces = [
+            {
+                x: histData.x.filter(value => value >= 0),
+                y: histData.y.filter((_, i) => histData.x[i] >= 0),
+                type: 'bar',
+                marker: {color: 'rgba(0,0,255,0.5)'}
+            },
+            {
+                x: histData.x.filter(value => value < 0),
+                y: histData.y.filter((_, i) => histData.x[i] < 0),
+                type: 'bar',
+                marker: {color: 'rgba(255,0,0,0.5)'}
+            }
+        ];
+    
+        // Plot the histogram
+        Plotly.newPlot(histId, traces, layout, {responsive: true, displayModeBar: false});
+    
+        // Maybe add title (if the title already existed then we update it, otherwise we create a new one)
+        if(histData.title) {
+            var histogramElement = document.getElementById(histId);
+            var existingTitleElement = histogramElement.previousSibling;
+            if (existingTitleElement && existingTitleElement.tagName === 'H4') {
+                existingTitleElement.innerHTML = histData.title;
+            } else {
+                var titleElement = document.createElement('h4');
+                titleElement.innerHTML = histData.title;
+                histogramElement.parentNode.insertBefore(titleElement, histogramElement);
+            }
+        }
+    }
+    
+    // 'DATA.ogitsHistogramData' is a dictionary mapping suffixes to histogram data (to make each histogram unique)
+    // We iterate over it, and create a histogram for each one
+    Object.entries(DATA.logitsHistogramData).forEach(([suffix, histData]) => {
+        var t0 = performance.now();
+    
+        histId = `histogram-logits-${suffix}`;
+        setupLogitsHistogram(histId, histData);
+    
+        var t1 = performance.now();
+        console.log(`HTML for ${histId} generated in ${(t1 - t0).toFixed(1)} ms`);
+    });
+    
+    
+    
+    
+    // ! Using `DATA.featureTablesData` to create & fill in the feature tables
+    
+    function setupFeatureTables(tablesContainerId, tablesData, tableMetaData) {
+        
+        // Fetch table data (singular), if it doesn't exist then return early
+        const tableData = tablesData[tableMetaData.dataKey] || null;
+        if (tableData === null) {
+            return;
+        }
+    
+        // Get table container from its ID
+        const featureTablesDiv = d3.select(`#${tablesContainerId}`);
+    
+        // Add a div to hold the header and table, give it a unique ID, and empty it (if that div already existed)
+        const tableContainerId = `${tableMetaData.dataKey}-${tablesContainerId}`;
+        const tableContainer = featureTablesDiv.append("div").attr("id", tableContainerId);
+        tableContainer.selectAll("*").remove();
+    
+        // Add the title
+        tableContainer.append("h4").html(tableMetaData.title);
+    
+        // Create the table, and header / body
+        const table = tableContainer.append("table").attr("class", "table-left");
+        const thead = table.append("thead");
+        const tbody = table.append("tbody");
+        const headerRow = thead.append("tr");
+    
+        // Append the 3 columns to this table's header row
+        tableMetaData.columns.forEach(col => {
+            headerRow.append("td")
+            .attr("class", col === "Index" ? "left-aligned" : "right-aligned")
+            .html(col);
+        });
+    
+        // Append our data to the tbody
+        const rows = tbody.selectAll('tr')
+            .data(tableData)
+            .enter()
+            .append('tr');
+    
+        rows.selectAll('td')
+            .data(row => Object.values(row))
+            .enter()
+            .append('td')
+            .attr('class', (d, i) => i === 0 ? 'left-aligned' : 'right-aligned')
+            .html(d => d);
+    }
+        
+    // Define some data which will tell us how to create our tables (this isn't a function of data, it's always the same)
+    const featureTablesMetaData = [
+        {title: "NEURON ALIGNMENT", columns: ["Index", "Value", "% of L<sub>1</sub>"], dataKey: "neuronAlignment"},
+        {title: "CORRELATED NEURONS", columns: ["Index", "Pearson Corr.", "Cosine Sim."], dataKey: "correlatedNeurons"},
+        {title: "CORRELATED FEATURES", columns: ["Index", "Pearson Corr.", "Cosine Sim."], dataKey: "correlatedFeatures"},
+        {title: "CORRELATED FEATURES (B-ENCODER)", columns: ["Index", "Pearson Corr.", "Cosine Sim."], dataKey: "correlatedFeaturesB"},
+    ]
+    
+    // 'featureTablesData' is a dictionary mapping suffixes to feature tables data (to make each table unique)
+    // We iterate over it, and create a table for each one
+    Object.entries(DATA.featureTablesData).forEach(([suffix, tablesData]) => {
+        var t0 = performance.now();
+    
+        // For each set of tables, we need to empty it, then create each of the new tables (up to 3)
+        tablesContainerId = `feature-tables-${suffix}`;
+        featureTablesMetaData.forEach(tableMetaData => {
+            setupFeatureTables(tablesContainerId, tablesData, tableMetaData);
+        });
+        
+        var t1 = performance.now();
+        console.log(`HTML for ${tablesContainerId} generated in ${(t1 - t0).toFixed(1)} ms`);
+    });
+    
+    
+    
+    
+    // ! Using `DATA.logitsTableData` to fill in the pos/neg logit tables
+    
+    function setupLogitTables(logitsTableId, tablesData, tableMetaData) {
+    
+        // Fetch table data (singular)
+        const tableData = tablesData[tableMetaData.dataKey];
+    
+        // Select the table container by its ID
+        const tablesContainer = d3.select(`#${logitsTableId}`);
+    
+        // Select the object that contains this particular table (negative or positive)
+        const tableId = `${tableMetaData.class}-${logitsTableId}`;
+        const tableContainer = tablesContainer.select(`#${tableId}`);
+        
+        // If this table container doesn't exist, create it
+        if (tableContainer.empty()) {
+            const section = tablesContainer.append("div").attr("class", tableMetaData.class);
+            section.append("h4").html(tableMetaData.title);
+            section.append("table").attr("id", tableId).attr("class", "table-left");
+        }
+    
+        // Now we can select the table by its ID, empty data, and add new data
+        const table = tablesContainer.select(`#${tableId}`);
+        table.selectAll('tr').remove();
+    
+        // Bind logits data to rows
+        const rows = table.selectAll('tr')
+            .data(tableData)
+            .enter()
+            .append('tr');
+        
+        // Append token cell
+        rows.append('td')
+            .attr('class', 'left-aligned')
+            .append('code')
+            .style('background-color', d => d.color)
+            .text(d => d.symbol);
+        
+        // Append value cell
+        rows.append('td')
+            .attr('class', 'right-aligned')
+            .text(d => d.value.toFixed(2));
+    }
+    
+    // Define some data which will tell us how to create our tables (this isn't a function of data, it's always the same)
+    var logitTablesMetaData = [
+        {title: "NEGATIVE LOGITS", dataKey: "negLogits", class: "negative"},
+        {title: "POSITIVE LOGITS", dataKey: "posLogits", class: "positive"},
+    ]
+    
+    // 'logitsTableData' is a dictionary mapping suffixes to logits table data (to make each logits table unique)
+    // We iterate over it, and create a logits table for each one
+    Object.entries(DATA.logitsTableData).forEach(([suffix, tablesData]) => {
+        var t0 = performance.now();
+    
+        // For each set of (pos / neg) table pairs, we need to empty each of them, then create them again
+        // tablesContainerId = `feature-tables-${suffix}`;
+        // setupLogitTables(logitsTableId, "negative", tableData.negLogits);
+        // setupLogitTables(logitsTableId, "positive", tableData.posLogits);
+        
+        logitsTableId = `logits-table-${suffix}`;
+        logitTablesMetaData.forEach(tableMetaData => {
+            setupLogitTables(logitsTableId, tablesData, tableMetaData);
+        });
+    
+        var t1 = performance.now();
+        console.log(`HTML for ${logitsTableId} generated in ${(t1 - t0).toFixed(1)} ms`);
+    });
+    
+    
+    
+    
+    
+    function addLineHistogram(histogramID, shapeIndex, tok, xValue) {
+        // Updates histogram with a line (if the histogram exists)
+        // shapeIndex 0 is for on-hover, 1 is for permanent line
+        if (document.getElementById(histogramID)) {
+            Plotly.relayout(histogramID, {
+                [`shapes[${shapeIndex}].x0`]: xValue,
+                [`shapes[${shapeIndex}].x1`]: xValue,
+                [`shapes[${shapeIndex}].visible`]: true,
+                [`annotations[${shapeIndex}].x`]: xValue,
+                [`annotations[${shapeIndex}].text`]: `|${tok}|<br>${xValue.toFixed(3)}`,
+                [`annotations[${shapeIndex}].visible`]: true,
+            });
+        }
+    }
+    
+    function removeLineHistogram(histogramID, shapeIndex) {
+        if (document.getElementById(histogramID)) {
+            Plotly.relayout(histogramID, {
+                [`shapes[${shapeIndex}].visible`]: false,
+                [`annotations[${shapeIndex}].visible`]: false,
+            });
+        }
+    }
+    
+    function generateTokHtmlElement(
+        parent, tok, tokID, uColor, bgColor, isBold, featAct, tokenLogit, lossEffect, posToks, posVal, negToks, negVal, permanentLine, hide, idSuffix,
+    ) {
+        // Figure out if previous token was active (this affects the construction of the tooltip)
+        let prevTokenActive = posToks.length + negToks.length > 0;
+    
+        // Create the token span (this will contain just the token, not the hoverdata)
+        let tokenSpan = parent.append("span")
+            .attr("class", "hover-text");
+    
+        // Get the histogram ids
+        let histogramActsID = `histogram-acts-${idSuffix}`;
+        let histogramLogitsID = `histogram-logits-${idSuffix}`;
+    
+        // Put actual token in the tokenSpan object (i.e. the thing we see without hovering)    
+        tokenSpan.append("span")
+            .attr("class", "token")
+            .style("background-color", bgColor)
+            .style("border-bottom", `4px solid ${uColor}`)
+            .style("font-weight", isBold ? "bold" : "normal")
+            .text(tok);
+    
+        // If hide is true, then we just show a box saying "no information was calculated for this token"
+        if (hide) {
+            // First define the tooltip div (added to the parent element, i.e. it's a sibling of the token span)
+            let tooltipHeight = 70;
+            let tooltipWidth = 150;
+            let tooltipDiv = parent.append("div")
+                .attr("class", "tooltip")
+                .style("height", tooltipHeight + "px")
+                .style("width", tooltipWidth + "px")
+                .style("font-size", "0.85em")
+                .style("white-space", "pre-wrap")
+                .style("align-items", "center")
+                .style("text-align", "center")
+                .style("padding", "15px")
+                .html("No information was calculated for this token, since you used compute_buffer=False.");
+    
+            // Add dynamic behaviour: show the tooltip on hover, and also add lines to the two histograms
+            tokenSpan.on('mouseover', function() {
+                tooltipDiv.style('display', 'flex');
+                tooltipDiv.style('position', 'fixed');
+            })
+            tokenSpan.on('mousemove', function(event) {
+                tooltipDiv.style('left', `${event.clientX - tooltipWidth / 2}px`);
+                tooltipDiv.style('top', `${event.clientY + 20}px`);
+            });
+            tokenSpan.on('mouseout', function() {
+                tooltipDiv.style('display', 'none');
+            });
+            
+        // If we're not hiding (because we only generated data for the bolded tokens), then create tooltip & add it on hover
+        } else { 
+    
+            // First define the tooltip div (added to the parent element, i.e. it's a sibling of the token span)
+            let tooltipHeight = prevTokenActive ? 270 : 160;
+            let tooltipWidth = prevTokenActive ? 350 : 250;
+            let tooltipDiv = parent.append("div")
+                .attr("class", "tooltip")
+                .style("height", tooltipHeight + "px")
+                .style("width", tooltipWidth + "px")
+                .style("align-items", "center")
+                .style("text-align", "center");
+    
+            // Next, create a table container, to contain 2 tables: one with basics (acts & loss effect), one with per-token logits
+            let tableContainer = tooltipDiv.append("div").attr("class", "table-container");
+    
+            // Creat the first table
+            let tokRow = `<td class="right-aligned">Token</td><td class="left-aligned"><code>${tok}</code> (${tokID})</td>`;
+            let featActRow = `<td class="right-aligned">Feature activation</td><td class="left-aligned">${featAct >= 0 ? '+' : ''}${featAct.toFixed(3)}</td>`;
+            let lossRow = `<td class="right-aligned">Loss contribution</td><td class="left-aligned">${lossEffect >= 0 ? '+' : ''}${lossEffect.toFixed(3)}</td>`;
+            let firstTable = tableContainer.append("table");
+            firstTable.append("tr").html(tokRow);
+            firstTable.append("tr").html(featActRow);
+            firstTable.append("tr").html(lossRow);
+            tableContainer.append("br");
+            
+            // If previous token is active, we add logit table
+            if (prevTokenActive) {
+                
+                // Create container for top & bottom logits tables
+                let logitsTableContainer = tableContainer.append("div").attr("class", "half-width-container")
+    
+                // Create the positive table, and fill it with values
+                let posLogitsTable = logitsTableContainer.append("table").attr("class", "half-width")
+                posLogitsTable.append("tr").html(`<td class="center-aligned" colspan="2">Pos logit contributions</td>`);
+                posToks.forEach((tok, index) => {
+                    posLogitsTable.append("tr").html(`
+                        <td class="right-aligned"><code>${tok}</code></td>
+                        <td class="left-aligned">${posVal[index] > 0 ? '+' : ''}${posVal[index].toFixed(3)}</td>
+                    `);
+                });
+    
+                // Create the negative table, and fill it with values
+                let negLogitsTable = logitsTableContainer.append("table").attr("class", "half-width")
+                negLogitsTable.append("tr").html(`<td class="center-aligned" colspan="2">Neg logit contributions</td>`);
+                negToks.forEach((tok, index) => {
+                    negLogitsTable.append("tr").html(`
+                        <td class="right-aligned"><code>${tok}</code></td>
+                        <td class="left-aligned">${negVal[index] > 0 ? '+' : ''}${negVal[index].toFixed(3)}</td>
+                    `);
+                });
+    
+            // If previous token is not active, we add a message instead
+            } else {
+                tableContainer.append("div")
+                    .style("font-size", "0.85em")
+                    .html("Feature not active on prev token;<br>no predictions were affected.");
+            }
+    
+            // Add dynamic behaviour: show the tooltip on hover, and also add lines to the two histograms
+            tokenSpan.on('mouseover', function() {
+                tooltipDiv.style('display', 'flex');
+                tooltipDiv.style('position', 'fixed');
+                addLineHistogram(histogramActsID, 0, tok, featAct);
+                addLineHistogram(histogramLogitsID, 0, tok, tokenLogit);
+            })
+            tokenSpan.on('mousemove', function(event) {
+                tooltipDiv.style('left', `${event.clientX - tooltipWidth / 2}px`);
+                tooltipDiv.style('top', `${event.clientY + 20}px`);
+            });
+            tokenSpan.on('mouseout', function() {
+                tooltipDiv.style('display', 'none');
+                removeLineHistogram(histogramActsID, 0);
+                removeLineHistogram(histogramLogitsID, 0);
+            });
+    
+            // Add static behaviour: if required, then show the permanent line on the histograms, as shapes[1]
+            if (permanentLine & isBold) {
+                addLineHistogram(histogramActsID, 1, tok, featAct);
+                addLineHistogram(histogramLogitsID, 1, tok, tokenLogit);
+            }
+        }
+    }
+    
+    Object.entries(DATA.tokenData).forEach(([seqGroupID, seqGroupData]) => {
+        const t0 = performance.now();
+    
+        // Find the sequence group container (this is the only thing that already exists)
+        const seqGroupContainer = d3.select(`#${seqGroupID}`);
+    
+        // Empty this container of title & all sequences
+        seqGroupContainer.selectAll('*').remove();
+    
+        // If title exists, add the title to this sequence group (we need .html not .text, because it could have <br>)
+        if ("title" in seqGroupData) {
+            seqGroupContainer.append('h4').html(seqGroupData.title);
+        }
+    
+        // Get the ID suffix for this sequence group
+        const idSuffix = seqGroupData.idSuffix;
+    
+        // Select all sequences (initially empty), and then add our sequences & bind them to the elems in seqGroupData.data
+        const seqGroup = seqGroupContainer.selectAll('.seq')
+            .data(seqGroupData.data)
+            .enter()
+            .append('div')
+            .attr('class', 'seq');
+    
+        // For each sequence, we iterate over & add all its tokens
+        seqGroup.each(function(seqData) {
+    
+            // Get `seq`, which is the individual `seq` element in seqGroup (i.e. the sequence container)
+            const seq = d3.select(this);
+    
+            // Iterate through each token data dict in `seqData`, and add this token to the sequence
+            seqData.forEach(tokData => {
+    
+                generateTokHtmlElement(
+                    seq,                                // object we'll append the token to
+                    tokData.tok,                        // string token
+                    tokData.tokID,                      // token ID (shown on hover, after PR request)
+                    tokData["uColor"] || "#fff",        // underline color (derived from loss effect)
+                    tokData["bgColor"] || "#fff",       // background color (derived from feature activation)
+                    tokData["isBold"] || false,         // is this token bolded?
+                    tokData["featAct"] || 0.0,          // feature activation at this token (used for acts histogram line)
+                    tokData["tokenLogit"] || 0.0,       // raw logit effect on this token (used for logits histogram line)
+                    tokData["lossEffect"] || 0.0,       // effect on loss (used for histogram line), if prev token active
+                    tokData["posToks"] || [],           // most-positive tokens (strings)
+                    tokData["posVal"] || [],            // most-positive token values
+                    tokData["negToks"] || [],           // most-negative tokens (strings)
+                    tokData["negVal"] || [],            // most-negative token values
+                    tokData["permanentLine"] || false,  // do we show a permanent line on histogram?
+                    tokData["hide"] || false,           // do we suppress hoverdata for this token?
+                    idSuffix,                           // suffix for the histogram ID which the hoverline will be added to
+                );
+            });
+        });
+    
+        const t1 = performance.now(); // End timing
+        console.log(`HTML for ${seqGroupID} generated in ${(t1 - t0).toFixed(1)} ms`);
+    });
+}
+
+function defineData() {
+    // Returns the data - see the docstring of the Python HTML class to understand the structure of this object.
+
+    return {"AGGDATA": {"max": [17.4137, 38.62667, 30.43501, 34.72691, 7.51, 34.72189, 10.12026, 47.62303, 13.69566, 15.05604, 63.77417], "frac_nonzero": [0.00297, 0.0013, 0.00073, 0.0003, 0.00304, 0.00016, 0.0054, 0.00121, 0.00592, 0.00069, 0.0004], "skew": [], "kurtosis": []}, "DASHBOARD_DATA": {"0": {"featureTablesData": {"0": {"neuronAlignment": [{"index": 609, "value": "+0.099", "percentageL1": "0.5%"}, {"index": 413, "value": "+0.097", "percentageL1": "0.5%"}, {"index": 674, "value": "+0.087", "percentageL1": "0.4%"}], "correlatedNeurons": [{"index": 609, "value": "+0.069", "percentageL1": "+0.078"}, {"index": 223, "value": "+0.058", "percentageL1": "+0.061"}, {"index": 25, "value": "+0.057", "percentageL1": "+0.053"}], "correlatedFeatures": [{"index": 14057, "value": "+0.002", "percentageL1": "+0.002"}, {"index": 6, "value": "+0.000", "percentageL1": "+0.002"}, {"index": 0, "value": "+0.000", "percentageL1": "+0.000"}]}}, "actsHistogramData": {"0": {"y": [538, 451, 384, 330, 255, 233, 192, 192, 160, 155, 123, 110, 85, 97, 70, 60, 54, 51, 52, 44, 29, 29, 20, 12, 11, 13, 12, 6, 9, 7, 2, 2, 2, 1, 3, 3, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1], "x": [0.17484, 0.5231, 0.87136, 1.21962, 1.56788, 1.91614, 2.2644, 2.61266, 2.96092, 3.30918, 3.65744, 4.0057, 4.35396, 4.70222, 5.05048, 5.39874, 5.747, 6.09526, 6.44352, 6.79178, 7.14004, 7.4883, 7.83656, 8.18481, 8.53307, 8.88133, 9.22959, 9.57785, 9.92611, 10.27437, 10.62263, 10.97089, 11.31915, 11.66741, 12.01567, 12.36393, 12.71219, 13.06045, 13.40871, 13.75697, 14.10523, 14.45349, 14.80175, 15.15001, 15.49827, 15.84653, 16.19479, 16.54305, 16.89131, 17.23957], "ticks": [0, 5.8, 11.6, 17.4], "colors": ["#ffd198", "#ffcf94", "#ffcd91", "#ffcc8e", "#ffcb8b", "#ffc988", "#ffc885", "#ffc782", "#ffc57f", "#ffc47c", "#ffc379", "#ffc175", "#ffbf72", "#ffbe6f", "#ffbd6c", "#ffbb69", "#ffba66", "#ffb963", "#ffb760", "#ffb65d", "#ffb459", "#ffb356", "#ffb153", "#ffb050", "#ffaf4d", "#ffad4a", "#ffac47", "#ffab44", "#ffa941", "#ffa83e", "#ffa63a", "#ffa537", "#ffa334", "#ffa231", "#ffa12e", "#ff9f2b", "#ff9e28", "#ff9d25", "#ff9b22", "#ff9a1f", "#ff981b", "#ff9718", "#ff9515", "#ff9412", "#ff930f", "#ff910c", "#ff9009", "#ff8f06", "#ff8d03", "#ff8c00"], "title": "ACTIVATIONS<br>DENSITY = 0.297%"}}, "logitsTableData": {"0": {"negLogits": [{"symbol": "geist", "value": -0.67, "color": "rgba(255,46,46,0.5)"}, {"symbol": "AMI", "value": -0.63, "color": "rgba(255,58,58,0.5)"}, {"symbol": "othal", "value": -0.6, "color": "rgba(255,69,69,0.5)"}, {"symbol": "ovan", "value": -0.59, "color": "rgba(255,73,73,0.5)"}, {"symbol": " Kun", "value": -0.56, "color": "rgba(255,82,82,0.5)"}, {"symbol": " totality", "value": -0.55, "color": "rgba(255,85,85,0.5)"}, {"symbol": "iatus", "value": -0.55, "color": "rgba(255,85,85,0.5)"}, {"symbol": "ablishment", "value": -0.54, "color": "rgba(255,87,87,0.5)"}, {"symbol": "normal", "value": -0.54, "color": "rgba(255,87,87,0.5)"}, {"symbol": " jo", "value": -0.54, "color": "rgba(255,88,88,0.5)"}], "posLogits": [{"symbol": "etheless", "value": 0.82, "color": "rgba(0,0,255,0.5)"}, {"symbol": "thirds", "value": 0.74, "color": "rgba(25,25,255,0.5)"}, {"symbol": " thirds", "value": 0.71, "color": "rgba(35,35,255,0.5)"}, {"symbol": "doms", "value": 0.7, "color": "rgba(38,38,255,0.5)"}, {"symbol": " times", "value": 0.7, "color": "rgba(39,39,255,0.5)"}, {"symbol": "tions", "value": 0.65, "color": "rgba(52,52,255,0.5)"}, {"symbol": " fold", "value": 0.63, "color": "rgba(59,59,255,0.5)"}, {"symbol": " Weir", "value": 0.62, "color": "rgba(63,63,255,0.5)"}, {"symbol": "taboola", "value": 0.62, "color": "rgba(63,63,255,0.5)"}, {"symbol": "pecially", "value": 0.61, "color": "rgba(66,66,255,0.5)"}]}}, "logitsHistogramData": {"0": {"y": [1, 1, 2, 1, 9, 19, 13, 34, 57, 116, 172, 288, 466, 683, 1033, 1460, 1983, 2520, 3049, 3628, 3984, 4286, 4258, 4047, 3651, 3174, 2653, 2277, 1722, 1347, 1015, 704, 521, 381, 211, 194, 101, 91, 35, 23, 24, 7, 7, 3, 1, 2, 1, 1, 0, 1], "x": [-0.65777, -0.62782, -0.59787, -0.56792, -0.53797, -0.50802, -0.47807, -0.44812, -0.41817, -0.38822, -0.35827, -0.32833, -0.29838, -0.26843, -0.23848, -0.20853, -0.17858, -0.14863, -0.11868, -0.08873, -0.05878, -0.02883, 0.00112, 0.03107, 0.06102, 0.09097, 0.12092, 0.15087, 0.18082, 0.21077, 0.24072, 0.27067, 0.30062, 0.33057, 0.36052, 0.39047, 0.42042, 0.45037, 0.48032, 0.51027, 0.54022, 0.57017, 0.60012, 0.63006, 0.66001, 0.68996, 0.71991, 0.74986, 0.77981, 0.80976], "ticks": [-0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6]}}, "tokenData": {"seq-group-2-0": {"data": [[{"tok": " converted", "tokID": 11513, "tokenLogit": -0.0653, "isBold": false}, {"tok": " into", "tokID": 656, "tokenLogit": -0.0708, "isBold": false}, {"tok": " I", "tokID": 314, "tokenLogit": -0.0872, "isBold": false}, {"tok": "MAX", "tokID": 22921, "tokenLogit": -0.0215, "isBold": false}, {"tok": ",", "tokID": 11, "tokenLogit": -0.1119, "isBold": false}, {"tok": " four", "tokID": 1440, "tokenLogit": -0.0091, "isBold": true, 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"isBold": true, "featAct": 21.1072, "bgColor": "#ffb964"}, {"tok": " organic", "tokID": 10469, "tokenLogit": 0.3821, "isBold": false}, {"tok": " and", "tokID": 290, "tokenLogit": 0.0497, "isBold": false}, {"tok": " fair", "tokID": 3148, "tokenLogit": 0.405, "isBold": false}, {"tok": "-", "tokID": 12, "tokenLogit": 0.0198, "isBold": false}, {"tok": "trade", "tokID": 25351, "tokenLogit": 0.0188, "isBold": false}], [{"tok": " of", "tokID": 286, "tokenLogit": -0.2042, "isBold": false}, {"tok": " visitors", "tokID": 9692, "tokenLogit": -0.1291, "isBold": false}, {"tok": ".", "tokID": 13, "tokenLogit": -0.0553, "isBold": false}, {"tok": " A", "tokID": 317, "tokenLogit": -0.0492, "isBold": false}, {"tok": " belief", "tokID": 4901, "tokenLogit": 0.519, "isBold": false}, {"tok": " in", "tokID": 287, "tokenLogit": -0.3361, "isBold": true, "featAct": 22.6031, "bgColor": "#ffb459"}, {"tok": " the", "tokID": 262, "tokenLogit": 0.5017, "isBold": false, "featAct": 3.6099, "bgColor": "#fff3e5"}, {"tok": " health", "tokID": 1535, "tokenLogit": 0.3111, "isBold": false}, {"tok": "-", "tokID": 12, "tokenLogit": 0.0198, "isBold": false}, {"tok": "giving", "tokID": 13992, "tokenLogit": 0.0469, "isBold": false}, {"tok": " effects", "tokID": 3048, "tokenLogit": 0.0395, "isBold": false}]], "idSuffix": "0", "title": "INTERVAL 20.833 - 24.305<br>CONTAINS 0.000%"}, "seq-group-2-5": {"data": [[{"tok": ",", "tokID": 11, "tokenLogit": -0.0532, "isBold": false}, {"tok": " burnt", "tokID": 22999, "tokenLogit": 0.0615, "isBold": false}, {"tok": " for", "tokID": 329, "tokenLogit": -0.0824, "isBold": false}, {"tok": " his", "tokID": 465, "tokenLogit": 0.4734, "isBold": false}, {"tok": " faith", "tokID": 4562, "tokenLogit": 0.5361, "isBold": false}, {"tok": " in", "tokID": 287, "tokenLogit": -0.3361, "isBold": true, "featAct": 18.7961, "bgColor": "#ffc175"}, {"tok": " Oxford", "tokID": 13643, "tokenLogit": -0.0246, "isBold": false}, {"tok": " during", "tokID": 1141, "tokenLogit": -0.1714, "isBold": false}, {"tok": " the", "tokID": 262, "tokenLogit": 0.5017, "isBold": false}, {"tok": " Re", "tokID": 797, "tokenLogit": 0.0758, "isBold": false}, {"tok": "formation", "tokID": 1161, "tokenLogit": 0.3573, "isBold": false}]], "idSuffix": "0", "title": "INTERVAL 17.361 - 20.833<br>CONTAINS 0.000%"}, "seq-group-2-7": {"data": [[{"tok": " F", "tokID": 376, "tokenLogit": 0.0733, "isBold": false}, {"tok": "UR", "tokID": 4261, "tokenLogit": 0.0793, "isBold": false}, {"tok": "MAN", "tokID": 10725, "tokenLogit": -0.2475, "isBold": false}, {"tok": " conc", "tokID": 1673, "tokenLogit": 0.2577, "isBold": false}, {"tok": "urs", "tokID": 1834, "tokenLogit": 0.007, "isBold": false}, {"tok": " in", "tokID": 287, "tokenLogit": -0.3361, "isBold": true, "featAct": 10.5734, "bgColor": "#ffdcb2"}, {"tok": " part", "tokID": 636, "tokenLogit": -0.1427, "isBold": false}, {"tok": " and", "tokID": 290, "tokenLogit": 0.0497, "isBold": false}, {"tok": " diss", "tokID": 6249, "tokenLogit": 0.0413, 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+}
+
+</script>