HoagyC / sparse_codingLinks
Using sparse coding to find distributed representations used by neural networks.
☆283Updated 2 years ago
Alternatives and similar repositories for sparse_coding
Users that are interested in sparse_coding are comparing it to the libraries listed below
Sorting:
- Sparse Autoencoder for Mechanistic Interpretability☆283Updated last year
- ☆184Updated 11 months ago
- ☆133Updated 3 weeks ago
- ☆252Updated last year
- ☆192Updated 3 weeks ago
- ☆361Updated 2 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆226Updated 10 months ago
- Steering Llama 2 with Contrastive Activation Addition☆192Updated last year
- ☆541Updated last year
- An Open Source Implementation of Anthropic's Paper: "Towards Monosemanticity: Decomposing Language Models with Dictionary Learning"☆49Updated last year
- ☆237Updated last year
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆222Updated this week
- ☆131Updated 2 years ago
- ☆129Updated last year
- Performant framework for training, analyzing and visualizing Sparse Autoencoders (SAEs).☆163Updated last week
- Sparsify transformers with SAEs and transcoders☆652Updated last week
- Sparse probing paper full code.☆65Updated last year
- This repository collects all relevant resources about interpretability in LLMs☆379Updated last year
- ☆210Updated 11 months ago
- Mechanistic Interpretability Visualizations using React☆299Updated 10 months ago
- Training Sparse Autoencoders on Language Models☆1,031Updated last week
- ☆55Updated 11 months ago
- Open source replication of Anthropic's Crosscoders for Model Diffing☆59Updated last year
- Tools for understanding how transformer predictions are built layer-by-layer☆539Updated 3 months ago
- A resource repository for representation engineering in large language models☆140Updated 11 months ago
- [ICLR 2025] General-purpose activation steering library☆116Updated last month
- ☆58Updated 3 months ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆695Updated this week
- Code and results accompanying the paper "Refusal in Language Models Is Mediated by a Single Direction".☆296Updated 4 months ago
- Function Vectors in Large Language Models (ICLR 2024)☆183Updated 6 months ago