semvec/pypi-packages huggingface dataset:
steering-vectors 0.12.2
Steering vectors for transformer language models in Pytorch / Huggingface
License: MIT
Requires Python: <4.0,>=3.10

# Steering Vectors

[![ci](https://img.shields.io/github/actions/workflow/status/steering-vectors/steering-vectors/ci.yaml?branch=main)](https://github.com/steering-vectors/steering-vectors)
[![Codecov](https://img.shields.io/codecov/c/github/steering-vectors/steering-vectors/main)](https://codecov.io/gh/steering-vectors/steering-vectors)
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Steering vectors / representation engineering for transformer language models in Pytorch / Huggingface

Check out our [example notebook](examples/caa_sycophancy.ipynb). <a target="_blank" href="https://colab.research.google.com/github/steering-vectors/steering-vectors/blob/main/examples/caa_sycophancy.ipynb">
<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
</a>

Full docs: https://steering-vectors.github.io/steering-vectors

## About

This library provides utilies for training and applying steering vectors to language models (LMs) from [Huggingface](https://huggingface.co/), like GPT, LLaMa, Gemma, Mistral, Pythia, and many more!

This library is inspired by ideas and code from the following two papers. For more info on steering vectors and representation engineering, check out these works:

- [Steering Llama 2 via Contrastive Activation Addition](https://arxiv.org/abs/2312.06681) Rimsky et al., 2023
- [Representation Engineering: A Top-Down Approach to AI Transparency](https://arxiv.org/abs/2310.01405) Zou et al., 2023

## Installation

```
pip install steering-vectors
```

Check out the [full documentation](https://steering-vectors.github.io/steering-vectors/) for more usage info.

## Contributing

Any contributions to improve this project are welcome! Please open an issue or pull request in this repo with any bugfixes / changes / improvements you have.

This project uses [Ruff](https://docs.astral.sh/ruff/) for code formatting and linting, [MyPy](https://mypy.readthedocs.io/en/stable/) for type checking, and [Pytest](https://docs.pytest.org/) for tests. Make sure any changes you submit pass these code checks in your PR. If you have trouble getting these to run feel free to open a pull-request regardless and we can discuss further in the PR.

## License

This code is released under a MIT license.