| title: pyvene | |
| emoji: 👀 | |
| colorFrom: pink | |
| colorTo: purple | |
| sdk: static | |
| pinned: false | |
| # Who are we? | |
| We are a group of hackers from Stanford's NLP group, and we are interested in LLM interpretability. | |
| `pyvene` is where we started, which stands for **py**torch model inter**vene**tion. | |
| # Resources | |
| **Supervised dictionary learning models (SDLs) and datasets releases for Gemma 2 2B and 9B: [`AxBench Collection`](https://huggingface.co/collections/pyvene/axbench-release-6787576a14657bb1fc7a5117).** | |
| **Benchmark interpretability methods at scale (AxBench) library: [`AxBench`](https://github.com/stanfordnlp/axbench).** | |
| **Representation finetuning (ReFT) library: [`pyreft`](https://github.com/stanfordnlp/pyreft).** | |
| **PyTorch model intervention library: [`pyvene`](https://github.com/stanfordnlp/pyvene).** | |