| license: mit | |
| library_name: transformers | |
| pipeline_tag: feature-extraction | |
| # SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability | |
| This repository contains models described in the paper [SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability](https://huggingface.co/papers/2503.09532). SAEBench is a comprehensive evaluation suite that measures SAE performance across seven diverse metrics, spanning interpretability, feature disentanglement and practical applications like unlearning. | |
| * Project Page: [https://saebench.xyz](https://saebench.xyz) | |
| * Code: [https://github.com/adamkarvonen/SAEBench](https://github.com/adamkarvonen/SAEBench) |