Lucas Prieto @lucas_prie
PhD student @imperialcollege @safe_trusted_ai London Joined January 2019-
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"Grokking at the Edge of Numerical Stability" was accepted to ICLR 2025! :)
Discover AI (code4AI) has just a released detailed video about our work on #grokking: youtube.com/watch?v=SRfJQe… Incredible to see how fast they produced it. Part II is on the way! #airesearch #science #newdiscovery
Our latest work [arxiv.org/abs/2501.04697] explores sudden generalization in neural nets, aka #grokking. We identify & propose solutions to two key issues hindering grokking: (i) floating point errors in Softmax and (ii) aligned gradients naively scaling logits post-overfitting.👇
After a network memorizes the training data, cross-entropy still pushes the logits to grow bigger and bigger, so argmax of the logits is the same but cross-entropy decreases. If this goes on long enough, your softmax hits the limit of floating-point precision. [1/2]

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