--- 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. 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.