README.md

---
library_name: saelens
---

# SAEs for use with the SAELens library

This repository contains the following SAEs:
- 333336576
- 500002816
- final_500002816
- 166670336

Load these SAEs using SAELens as below:
```python
from sae_lens import SAE

sae, cfg_dict, sparsity = SAE.from_pretrained("chanind/sae-gemma-2-2b-layer-1-multistage-tied-staged-l1", "<sae_id>")
```