New paper: representation-readout decomposition unifies grokking and double descent, flags spurious generalization
s_y_chung · x · 2026-11-11
The author presents a new paper introducing a representation-readout decomposition as a top-down complement to circuit-level interpretability, offering a unified, task-agnostic, two-speed account of grokking and epoch-wise double descent.
- The same measures also flag spurious generalization dynamics: a previously reported MNIST grokking example and a label-noise double descent example stem from degraded representations and a misaligned readout under non-standard recipes; the signatures disappear under standard training.
- Open directions: extending the decomposition beyond the final layer to intermediate layers, lightweight monitoring tools and hyperparameter-selection guidance for practitioners, encoder stability and readout adaptation in continual/transfer learning, and using spurious-generalization signatures to detect misalignment in safety-critical models.
Related event: "Two Speeds of Learning" Paper Unifies Grokking and Double Descent(5 posts)→
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