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title: pyvene
emoji: 👀
colorFrom: pink
colorTo: purple
sdk: static
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# 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).**