stanfordnlp / pyveneLinks
Stanford NLP Python library for understanding and improving PyTorch models via interventions
☆745Updated this week
Alternatives and similar repositories for pyvene
Users that are interested in pyvene are comparing it to the libraries listed below
Sorting:
- Sparsify transformers with SAEs and transcoders☆547Updated last week
- Tools for understanding how transformer predictions are built layer-by-layer☆493Updated last year
- Training Sparse Autoencoders on Language Models☆789Updated this week
- Sparse Autoencoder for Mechanistic Interpretability☆248Updated 10 months ago
- Using sparse coding to find distributed representations used by neural networks.☆247Updated last year
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆574Updated this week
- Representation Engineering: A Top-Down Approach to AI Transparency☆831Updated 9 months ago
- This repository collects all relevant resources about interpretability in LLMs☆353Updated 7 months ago
- Mechanistic Interpretability Visualizations using React☆251Updated 5 months ago
- ☆302Updated 2 weeks ago
- ☆480Updated 10 months ago
- ☆222Updated 8 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆200Updated 5 months ago
- ☆209Updated last year
- A library for mechanistic interpretability of GPT-style language models☆2,202Updated this week
- Mass-editing thousands of facts into a transformer memory (ICLR 2023)☆492Updated last year
- ☆268Updated last year
- Interpretability for sequence generation models 🐛 🔍☆419Updated last month
- ☆116Updated 9 months ago
- ☆121Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆526Updated 4 months ago
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆180Updated this week
- Locating and editing factual associations in GPT (NeurIPS 2022)☆634Updated last year
- A curated list of Large Language Model (LLM) Interpretability resources.☆1,336Updated 5 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆849Updated last week
- ☆120Updated 6 months ago
- Editing Models with Task Arithmetic☆475Updated last year
- A library for making RepE control vectors☆593Updated 4 months ago
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,476Updated 3 months ago
- ☆96Updated last month