About

Acknowledgements

This library is inspired by and uses modified code from the following excellent projects:

• Locating and Editing Factual Associations in GPT

• Linearity of Relation Decoding in Transformer LMs

Contributing

Any contributions to improve this project are welcome! Please open an issue or pull request in the Github repo with bugfixes, changes, and improvements.

License

Linear-Relational is released under a MIT license.

Citation

If you use this library in your work, please cite the following:

@article{chanin2023identifying,
    title={Identifying Linear Relational Concepts in Large Language Models},
    author={David Chanin and Anthony Hunter and Oana-Maria Camburu},
    journal={arXiv preprint arXiv:2311.08968},
    year={2023}
}