BWhat changed
Used sparse-feature synthetic data and small ReLU networks to demonstrate regimes in which models encode more features than available dimensions, with interpretable geometric changes as feature sparsity and importance vary.
Scientific scope
Used sparse-feature synthetic data and small ReLU networks to demonstrate regimes in which models encode more features than available dimensions, with interpretable geometric changes as feature sparsity and importance vary. Scope limitation: The findings concern specified toy networks and synthetic sparse features. They do not prove that any particular production language model uses the same geometry or that its internal features have been fully identified.
Evidence
The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. The findings concern specified toy networks and synthetic sparse features. They do not prove that any particular production language model uses the same geometry or that its internal features have been fully identified.
Contributors
- The named authors listed in the linked research record · SCIENCE: Complete source byline retained in the research record; human research direction, method development and evaluation. Individual labor shares are not measured.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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