---
license: mit
---
This directory contains sparse autoencoders trained on activations at various points within gpt2-small using [Neel Nanda's open source code](https://github.com/neelnanda-io/1L-Sparse-Autoencoder). 
Each autoencoder was trained on 1B tokens from OpenWebText.
A demo colab notebook is [here](https://colab.research.google.com/drive/1KeRGixXf_5GrG_7vQalG6UJQyhQd6byi?usp=sharing).


The autoencoders are named "gpt2-small_{feature_dict_size}_{point} _{layer}.pt", where:
- "feature_dict_size" is the number of hidden neurons in the autoencoder
- "point" is either "mlp_out" or "resid_pre"
- "layer" is an integer from 0,...,11.