TransformerLensOrg / TransformerLensLinks
A library for mechanistic interpretability of GPT-style language models
☆3,049Updated this week
Alternatives and similar repositories for TransformerLens
Users that are interested in TransformerLens are comparing it to the libraries listed below
Sorting:
- Training Sparse Autoencoders on Language Models☆1,193Updated this week
- ☆916Updated 2 weeks ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆800Updated this week
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆857Updated last week
- Sparsify transformers with SAEs and transcoders☆688Updated last week
- Representation Engineering: A Top-Down Approach to AI Transparency☆945Updated last year
- Mechanistic Interpretability Visualizations using React☆318Updated last year
- ☆566Updated last year
- Sparse Autoencoder for Mechanistic Interpretability☆290Updated last year
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,555Updated 3 weeks ago
- Tools for understanding how transformer predictions are built layer-by-layer☆567Updated 5 months ago
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆238Updated 5 months ago
- A bibliography and survey of the papers surrounding o1☆1,213Updated last year
- open source interpretability platform 🧠☆689Updated this week
- ☆388Updated 5 months ago
- Locating and editing factual associations in GPT (NeurIPS 2022)☆719Updated last year
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆829Updated 6 months ago
- ☆2,568Updated last week
- utilities for decoding deep representations (like sentence embeddings) back to text☆1,057Updated last month
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆337Updated 6 months ago
- ☆267Updated last year
- A curated list of Large Language Model (LLM) Interpretability resources.☆1,469Updated 7 months ago
- This repository collects all relevant resources about interpretability in LLMs☆390Updated last year
- Using sparse coding to find distributed representations used by neural networks.☆293Updated 2 years ago
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,725Updated 2 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆238Updated last year
- [NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards☆1,326Updated 3 weeks ago
- Training Large Language Model to Reason in a Continuous Latent Space☆1,491Updated 5 months ago
- What would you do with 1000 H100s...☆1,148Updated 2 years ago
- ☆1,067Updated last year