curt-tigges / probity
☆12Updated 2 weeks ago
Alternatives and similar repositories for probity:
Users that are interested in probity are comparing it to the libraries listed below
- A library for efficient patching and automatic circuit discovery.☆63Updated this week
- ☆161Updated 2 weeks ago
- ☆13Updated 3 weeks ago
- Open source replication of Anthropic's Crosscoders for Model Diffing☆52Updated 5 months ago
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆18Updated 3 months ago
- ☆104Updated 5 months ago
- Sparse Autoencoder Training Library☆48Updated 5 months ago
- ☆11Updated last month
- Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"☆30Updated 10 months ago
- ☆36Updated 5 months ago
- ☆85Updated 2 weeks ago
- A small package implementing some useful wrapping around nnsight☆12Updated last week
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆169Updated this week
- ☆121Updated last year
- ☆91Updated 2 months ago
- ☆218Updated 6 months ago
- ☆36Updated last month
- Improving Steering Vectors by Targeting Sparse Autoencoder Features☆17Updated 5 months ago
- ☆49Updated 3 months ago
- Algebraic value editing in pretrained language models☆63Updated last year
- Attribution-based Parameter Decomposition☆18Updated this week
- Using sparse coding to find distributed representations used by neural networks.☆236Updated last year
- Mechanistic Interpretability Visualizations using React☆241Updated 4 months ago
- Steering vectors for transformer language models in Pytorch / Huggingface☆95Updated 2 months ago
- ☆31Updated 11 months ago
- Codebase for "On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback". This repo implements a generative multi-tur…☆14Updated 4 months ago
- A benchmark for mechanistic discovery of circuits in Transformers☆13Updated 4 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆73Updated 4 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆197Updated 4 months ago
- ☆274Updated 2 months ago