ft_exp

Refactoring MLPs to be more interpretable by distilling them into larger, sparse MLPs.

The main analysis is in analysis.ipynb.

Training code is in train.py and model definitions are in model.py.

Name		Name	Last commit message	Last commit date
Latest commit History 82 Commits
activating_samples		activating_samples
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
analysis.ipynb		analysis.ipynb
buffer.py		buffer.py
compare.ipynb		compare.ipynb
config.py		config.py
encoder_investigation.ipynb		encoder_investigation.ipynb
load_ae.ipynb		load_ae.ipynb
make_json.py		make_json.py
model.py		model.py
overall_diagram_v2.png		overall_diagram_v2.png
requirements.txt		requirements.txt
toy_experiment.ipynb		toy_experiment.ipynb
train.py		train.py
utils.py		utils.py

slavachalnev/ft_exp