ruizheliUOA / Awesome-Interpretability-in-Large-Language-ModelsLinks
This repository collects all relevant resources about interpretability in LLMs
☆353Updated 7 months ago
Alternatives and similar repositories for Awesome-Interpretability-in-Large-Language-Models
Users that are interested in Awesome-Interpretability-in-Large-Language-Models are comparing it to the libraries listed below
Sorting:
- ☆156Updated 6 months ago
- Using sparse coding to find distributed representations used by neural networks.☆247Updated last year
- Sparsify transformers with SAEs and transcoders☆553Updated this week
- ☆223Updated 8 months ago
- A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..☆243Updated 2 months ago
- Sparse Autoencoder for Mechanistic Interpretability☆248Updated 10 months ago
- ☆302Updated 2 weeks ago
- Mechanistic Interpretability Visualizations using React☆251Updated 5 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆200Updated 5 months ago
- ☆120Updated 6 months ago
- Training Sparse Autoencoders on Language Models☆802Updated last week
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆180Updated last week
- ☆97Updated last month
- A resource repository for representation engineering in large language models☆124Updated 6 months ago
- Steering Llama 2 with Contrastive Activation Addition☆154Updated last year
- ☆209Updated last year
- Tools for understanding how transformer predictions are built layer-by-layer☆497Updated last year
- LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces☆93Updated last year
- ☆75Updated 3 months ago
- ☆121Updated last year
- For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research.☆116Updated this week
- Function Vectors in Large Language Models (ICLR 2024)☆167Updated last month
- Steering vectors for transformer language models in Pytorch / Huggingface☆101Updated 3 months ago
- ☆480Updated 10 months ago
- ☆171Updated last month
- Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).☆317Updated last year
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆745Updated last week
- ☆116Updated 10 months ago
- AI Logging for Interpretability and Explainability🔬☆119Updated 11 months ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆579Updated this week