Forked from the https://github.com/neelnanda-io/1L-Sparse-Autoencoder repo with the following changes
- Fixed errors in the script so that the training code works out of the box
- Added experiments to see affect of quantization on monosemanticity and sparse autoencoder features.
- Changes so that the .ipynb file to analyse features runs on generic models (and not just 1 layer)