ML Application · Python

silico-e4b-sae-run

Rick@JuiceB0xC0de · Atlas 73.3 · #2= builder

What it is

The repository trains a 42-layer JumpReLU Sparse Autoencoder (SAE) atlas for the Gemma 4 E4B language model using the E2B recipe and an event-aware trainer with automatic sparsity control. It generates a private Hugging Face dataset containing the SAEs and includes scripts for training, verification, and result aggregation.

Scored from the code at its last scan, 22 Oct 2026. How merit is scored

Where it counts

Machine Learning80%
NLP & LLMs80%
MLOps30%
Data Science20%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

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What it is

Where it counts

Around it on the Machine Learning board

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