| library_name: transformers | |
| license: mit | |
| pipeline_tag: feature-extraction | |
| # SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability | |
| This repository contains model checkpoints for Sparse Autoencoders (SAEs), as described in the paper [SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability](https://huggingface.co/papers/2503.09532). | |
| These models can be used for feature extraction. | |
| Project page: https://saebench.xyz. | |
| For code, please see the [SAEBench repository](https://github.com/adamkarvonen/SAEBench). |