Claude

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Models struggle to transition between these strategies, as exhibited by a spike in test loss. This spike moves to larger datasets as one…

For small training sets, models use superposition to memorize more data points than the two available neurons. For large training sets…

Our prior work showed that these toy models use a strategy called “superposition” to learn more features than available neurons. Here we…

We have little mechanistic understanding of how deep learning models overfit to their training data, despite it being a central problem…