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Podcast: Arxiv Papers
Episode: Decomposing The Dark Matter of Sparse Autoencoders
Description:
This study explores "dark matter" in sparse autoencoders, revealing that much unexplained variance can be predicted and proposing methods to reduce nonlinear error in model activations.
https://arxiv.org/abs//2410.14670
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