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- ## Organization Introduction
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- We host language models trained with ReFT (ReFT-Agent) and other tools. These models are trained using ReFTs and just a few training examples (n 10) to demonstrate that a ReFT-Agent can be created fairly quickly (in under 1-2 minutes).
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  ## Resources
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- **ReFT is powered by its own library [`pyreft`](https://github.com/stanfordnlp/pyreft).**
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- **`pyreft` is powered by its parent library [`pyvene`](https://github.com/stanfordnlp/pyvene).**
 
 
 
 
 
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+ ## Who are we?
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+ We are a group of hackers from the Stanford NLP group and are interested in LLM interpretability.
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+ `pyvene` is where we started, which stands for *Py*torch model inter*vene*tion.
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  ## Resources
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+ **Supervised dictionary learning release for Gemma 2 2B and 9B: [`AxBench Collection`](https://huggingface.co/collections/pyvene/axbench-release-6787576a14657bb1fc7a5117).**
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+ **Benchmark interpretability methods at scale (AxBench) library: [`AxBench`](https://github.com/stanfordnlp/axbench).**
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+ **Representation finetuning (ReFT) library: [`pyreft`](https://github.com/stanfordnlp/pyreft).**
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+ **Generic model intervention library: [`pyvene`](https://github.com/stanfordnlp/pyvene).**