callummcdougall / sae_visLinks
Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
☆206Updated 6 months ago
Alternatives and similar repositories for sae_vis
Users that are interested in sae_vis are comparing it to the libraries listed below
Sorting:
- Mechanistic Interpretability Visualizations using React☆260Updated 6 months ago
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆192Updated this week
- ☆122Updated last year
- Sparsify transformers with SAEs and transcoders☆583Updated this week
- ☆314Updated last month
- Sparse Autoencoder for Mechanistic Interpretability☆255Updated 11 months ago
- ☆231Updated 9 months ago
- ☆105Updated last month
- Steering vectors for transformer language models in Pytorch / Huggingface☆112Updated 4 months ago
- ☆181Updated 3 months ago
- Using sparse coding to find distributed representations used by neural networks.☆259Updated last year
- ☆28Updated last year
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆605Updated this week
- ☆140Updated 7 months ago
- Open source replication of Anthropic's Crosscoders for Model Diffing☆56Updated 8 months ago
- ☆121Updated 11 months ago
- Erasing concepts from neural representations with provable guarantees☆230Updated 5 months ago
- ☆134Updated 3 months ago
- Training Sparse Autoencoders on Language Models☆864Updated this week
- Sparse Autoencoder Training Library☆53Updated 2 months ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆127Updated 2 years ago
- ☆47Updated 7 months ago
- A toolkit for describing model features and intervening on those features to steer behavior.☆191Updated 8 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆77Updated 7 months ago
- ☆60Updated this week
- ☆273Updated last year
- ☆32Updated last year
- Tools for understanding how transformer predictions are built layer-by-layer☆503Updated last year
- ☆101Updated 5 months ago
- Steering Llama 2 with Contrastive Activation Addition☆162Updated last year