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Sensitivity, Causality, and Repair Dissociate: A Layer-Wise Analysis of Perturbation Robustness and Its Scaling
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers find that model sensitivity to noise, causality of predictions, and where repairs can occur dissociate across layers in LLMs.
Open sourceOneBench interpretation
Institutional assessment
So what
Understanding layer dissociation challenges standard model validation techniques that assume localizing representation errors locates where prediction failures are caused.
Do what
Brief your model validation team to incorporate layer-wise dissociation risk when reviewing third-party safety and alignment audits.