---
license: mit
tags: [sparse-autoencoder, interpretability, graphcast, weather, climate]
---
# GraphCast Climate SAEs

Sparse autoencoders trained on GraphCast layer activations for the Climate XAI project.

Six models: {Standard TopK, Matryoshka TopK} × layers {0, 8, 15}. Input dim 512,
4096 latents, k=32 active. Each directory holds `final_model.pt` and `config.json`.

Load with the code at https://github.com/mathaim/climate_xai
(`train/models/plain_sae.py`, `train/models/matryoshka_sae.py`); hyperparameters are in each `config.json`.