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Transformers Collapse to Low-Dim Manifolds
โก 30-Second TL;DR
What Changed
Robust dimensional collapse across seeds
Why It Matters
Unifies transformer learning geometry, enhancing interpretability and curriculum design. Highlights overparameterization's role in isolating core computation.
What To Do Next
Evaluate benchmark claims against your own use cases before adoption.
Who should care:Researchers & Academics
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Original source: ArXiv AI โ