decoderesearch/SAELens

A library for mechanistic interpretability of GPT-style language models

Companion code for the global workspace interpretability paper

Stanford NLP Python library for Representation Finetuning (ReFT)

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Implementation for MatMul-free LM.

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"