jbloomAus / SAELens
Training Sparse Autoencoders on Language Models
☆469Updated this week
Related projects ⓘ
Alternatives and complementary repositories for SAELens
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆157Updated last month
- Sparse autoencoders☆342Updated last week
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆402Updated this week
- Sparse Autoencoder for Mechanistic Interpretability☆188Updated 4 months ago
- Using sparse coding to find distributed representations used by neural networks.☆184Updated last year
- Mechanistic Interpretability Visualizations using React☆198Updated 4 months ago
- ☆188Updated last month
- ☆145Updated 3 weeks ago
- ☆328Updated 4 months ago
- This repository collects all relevant resources about interpretability in LLMs☆288Updated 2 weeks ago
- ☆105Updated last month
- ☆108Updated last year
- Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions☆641Updated 2 weeks ago
- Tools for understanding how transformer predictions are built layer-by-layer☆430Updated 5 months ago
- Extract full next-token probabilities via language model APIs☆229Updated 8 months ago
- ☆107Updated this week
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆200Updated 9 months ago
- Steering Llama 2 with Contrastive Activation Addition☆97Updated 5 months ago
- ☆351Updated this week
- ☆98Updated 3 months ago
- A library for mechanistic interpretability of GPT-style language models☆1,592Updated this week
- Steering vectors for transformer language models in Pytorch / Huggingface☆65Updated last month
- ViT Prisma is a mechanistic interpretability library for Vision Transformers (ViTs).☆179Updated this week
- A toolkit for describing model features and intervening on those features to steer behavior.☆99Updated last week
- ☆170Updated 8 months ago
- Improving Alignment and Robustness with Circuit Breakers☆154Updated last month
- Erasing concepts from neural representations with provable guarantees☆209Updated last week
- ☆44Updated this week
- Code and results accompanying the paper "Refusal in Language Models Is Mediated by a Single Direction".☆123Updated last month