Learning a Generative Meta-Model of LLM Activations

Existing approaches for analyzing neural network activations, such as PCA and sparse autoencoders, rely on strong structural assumptions. Generative models offer an alternative: they can uncover structure without such assumptions and act as priors that impr...

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Uploaded Jul 10, 2026

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