Nathan Labiosa

Sensitivity, Causality, and Repair Dissociate: A Layer-Wise Analysis of Perturbation Robustness and Its Scaling

When a language model fails on surface-perturbed input (typos, OCR noise, homophones),"which layer is responsible"has three natural operationalizations: where representations diverge most (sensitivity), where restoring clean activations recovers the prediction (causality), and where a small adapter can repair the damag...