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SAEs for use with the SAELens library

This repository contains the following SAEs:

  • blocks.1.hook_resid_post

Load these SAEs using SAELens as below:

from sae_lens import SAE

sae, cfg_dict, sparsity = SAE.from_pretrained("chanind/sae-gemma-2-2b-layer-1-res-jumprelu", "<sae_id>")

This SAE has L0=80, and 0.93 variance explained.

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