AI RESEARCH
Understanding Task Representations in Neural Networks via Bayesian Ablation
arXiv CS.AI
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ArXi:2505.13742v2 Announce Type: replace-cross Neural networks are powerful tools for cognitive modeling due to their flexibility and emergent properties. However, interpreting their learned representations remains challenging due to their sub-symbolic semantics. In this work, we