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Grokking vs learning: same features, different encodings

Grokking typically achieves similar losses to ordinary, ‘steady’, learning. This work asks whether these different learning paths lead to fundamental differences in the learned models. To do so, we compare the features, compressibility, and learning dynamics of models trained via each path in two co...

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Bibliografiska uppgifter
Huvudupphov: Dmitry Manning-Coe, Jacopo Gliozzi, Alexander G Stapleton, Edward Hirst, Giuseppe De Tomasi, Barry Bradlyn, David Berman
Materialtyp: Artigo
Språk:Inglês
Utgiven: IOP Publishing 2026-01-01
Serie:Machine Learning: Science and Technology
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Länkar:https://doi.org/10.1088/2632-2153/ae67d0
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