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Mapping what a model learns in post-training

I've been working on unsupervised tooling to discover what behaviors a model learns in post-training. The core idea is to use features from sparse autoencoders to identify differences in traces generated before and after training. I applied this to traces from the MiMo-v2.6 RL environments and it f…

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  1. 2026-10-14 18:26 · r/deeplearning
    Mapping what a model learns in post-training

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