Useful Features, Backward Scores: OOD in Language-Model Trajectories
Recent OOD detection methods using attention scores fail because they are ruined by sequence length constraints. This work proposes a two-pathway system: an embedding pathway and a processing trajectory pathway. The trajectory features, which track hidden states across layers, retain a genuine signal for detecting covert intent that length-dependent attention metrics miss.