First reported substack.com
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First reported youtube.com
Your LLM Deception Monitor Is Broken. The Fix Is in the Training Data - Sachin Kumar, LexisNexis
Sachin Kumar (LexisNexis) presents peer-reviewed research (accepted at IJCNN, with open-source code) on detecting sleeper-agent backdoors in fine-tuned LLMs that pass behavioral evals yet flip to harmful output on an untested trigger. The proposed 'delta monitor' trains a sparse autoencoder on the difference between base and fine-tuned model activations, which in a controlled SQL-injection backdoor experiment flagged the backdoor with 40x the signal of crosscoder joint features, perfect precision, and zero false positives from a single layer. Details →How the wire is made
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