Gradient descent aligns neurons by surprising connections, not minimal interference, researcher argues
moultano · x · 2026-10-17
Researcher moultano shares an intuition on feature learning: neurons align along dimensions with surprising connections rather than in a minimal-interference, hash-like sense — which feels like what gradient descent would do by default.
He cautions that such "surprising connections" could be extremely surprising, and possibly not useful or interpretable.
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