Using Hessian curvature, intrinsic dimensionality, and linguistic probes on a synthetic frame-semantic corpus, the paper claims a coordinated intersection-based phase transition in small transformers, though the marker depends on arbitrary scaling.
Algorithms for manifold learning
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TRACE for Tracking the Emergence of Semantic Representations in Transformers
Using Hessian curvature, intrinsic dimensionality, and linguistic probes on a synthetic frame-semantic corpus, the paper claims a coordinated intersection-based phase transition in small transformers, though the marker depends on arbitrary scaling.