Anatomy of Capability Emergence: Scale-Invariant Representation Collapse and Top-Down Reorganization in Neural Networks | ScienceToStartup | ScienceToStartup

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References (15)

[1]

Tracing the Representation Geometry of Language Models from Pretraining to Post-training

2025Melody Zixuan Li, K. Agrawal et al.

[2]

Neural Networks Learn Statistics of Increasing Complexity

2024Nora Belrose, Quintin Pope et al.

[3]

The Local Learning Coefficient: A Singularity-Aware Complexity Measure

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"Exploring the geometric framework and hierarchical representation dynamics in neural network emergence, not aimed for product prediction tools."

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Anatomy of Capability Emergence: Scale-Invariant Representation Collapse and Top-Down Reorganization in Neural Networks

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References (15)

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"Exploring the geometric framework and hierarchical representation dynamics in neural network emergence, not aimed for product prediction tools."

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Anatomy of Capability Emergence: Scale-Invariant Representation Collapse and Top-Down Reorganization in Neural Networks

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"Exploring the geometric framework and hierarchical representation dynamics in neural network emergence, not aimed for product prediction tools."

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