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-# Eliciting Suppressed Knowledge (ESK) WIP
+# Eliciting Suppressed Knowledge (ESK) 
 
 ## Abstract
 **Where do transformer models store their true "thoughts" when they say something they know is false?** We demonstrate that suppressed neural activations are a more useful source of knowledge than the model's direct outputs or standard hidden states. By isolating and probing these suppressed activation patterns, we achieve ~20% AUROC improvements on TruthfulQA compared to the LLM answer, and . This confirms suppressed activations contain knowledge that the model possesses but deliberately inhibits during generation.