
A Vision AI Rebuilt Its Inner Map Without Forgetting the Labels
A vision transformer’s hidden representations shifted sharply after small weight changes, while its image-classification performance stayed nearly intact.

A vision transformer’s hidden representations shifted sharply after small weight changes, while its image-classification performance stayed nearly intact.

A model found real patterns in neural-network weights, yet a label shuffle and satellite images revealed where its interpretations went wrong.