stanfordnlp / pyveneView external linksLinks
Stanford NLP Python library for understanding and improving PyTorch models via interventions
☆858Jan 29, 2026Updated 2 weeks ago
Alternatives and similar repositories for pyvene
Users that are interested in pyvene are comparing it to the libraries listed below
Sorting:
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,555Jan 14, 2026Updated 3 weeks ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆811Updated this week
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆570Jan 28, 2025Updated last year
- A library for mechanistic interpretability of GPT-style language models☆3,073Updated this week
- Training Sparse Autoencoders on Language Models☆1,201Updated this week
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆163Jun 25, 2025Updated 7 months ago
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆57Oct 30, 2025Updated 3 months ago
- Sparsify transformers with SAEs and transcoders☆692Updated this week
- ☆389Aug 21, 2025Updated 5 months ago
- ☆267Oct 1, 2024Updated last year
- ☆207Oct 14, 2025Updated 3 months ago
- Mechanistic Interpretability Visualizations using React☆320Dec 18, 2024Updated last year
- Representation Engineering: A Top-Down Approach to AI Transparency☆947Aug 14, 2024Updated last year
- ☆247Feb 22, 2024Updated last year
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆240Dec 16, 2024Updated last year
- Steering Llama 2 with Contrastive Activation Addition☆207May 23, 2024Updated last year
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆241Updated this week
- Tools for understanding how transformer predictions are built layer-by-layer☆567Aug 7, 2025Updated 6 months ago
- CausalGym: Benchmarking causal interpretability methods on linguistic tasks☆51Nov 30, 2024Updated last year
- ☆116Feb 11, 2025Updated last year
- A resource repository for representation engineering in large language models☆148Nov 14, 2024Updated last year
- Locating and editing factual associations in GPT (NeurIPS 2022)☆724Apr 20, 2024Updated last year
- Using sparse coding to find distributed representations used by neural networks.☆296Nov 10, 2023Updated 2 years ago
- A library for making RepE control vectors☆685Sep 24, 2025Updated 4 months ago
- ☆198Nov 17, 2024Updated last year
- This repository collects all relevant resources about interpretability in LLMs☆391Nov 1, 2024Updated last year
- Sparse Autoencoder for Mechanistic Interpretability☆291Jul 20, 2024Updated last year
- Steering vectors for transformer language models in Pytorch / Huggingface☆140Feb 21, 2025Updated 11 months ago
- A library for efficient patching and automatic circuit discovery.☆88Dec 31, 2025Updated last month
- Erasing concepts from neural representations with provable guarantees☆243Jan 27, 2025Updated last year
- ☆132Oct 28, 2023Updated 2 years ago
- ☆4,112Jun 4, 2024Updated last year
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆20Jan 19, 2025Updated last year
- Robust recipes to align language models with human and AI preferences☆5,495Sep 8, 2025Updated 5 months ago
- ☆138Aug 4, 2024Updated last year
- ☆146Dec 30, 2025Updated last month
- [ICLR 2025] General-purpose activation steering library☆141Sep 18, 2025Updated 4 months ago
- A JAX research toolkit for building, editing, and visualizing neural networks.☆1,863Jun 22, 2025Updated 7 months ago
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,731Nov 15, 2025Updated 2 months ago