SAEs for use with the SAELens library
This repository contains the following SAEs:
- layer_14/width_16k/canonical
Load these SAEs using SAELens as below:
from sae_lens import SAE
sae = SAE.from_pretrained("syzhang/gemma2-2b-it-layer-14-sae", "<sae_id>")