Instructions to use jbloom/GPT2-Small-SAEs-Reformatted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SAELens
How to use jbloom/GPT2-Small-SAEs-Reformatted with SAELens:
# pip install sae-lens from sae_lens import SAE sae, cfg_dict, sparsity = SAE.from_pretrained( release = "RELEASE_ID", # e.g., "gpt2-small-res-jb". See other options in https://github.com/jbloomAus/SAELens/blob/main/sae_lens/pretrained_saes.yaml sae_id = "SAE_ID", # e.g., "blocks.8.hook_resid_pre". Won't always be a hook point ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bb6f645eb1c7fa25827c82b817ebcf0b701c8d9775b09c91755a40bb4efd0dc
- Size of remote file:
- 151 MB
- SHA256:
- 57aae3d13394d8ecfc6950fb4d40e45cabf6ebc871f3cc52845742e5d6ffb979
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