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Li and colleagues: inference-time activation intervention for truthful answers

Contribution grade

Language-model representation control · Human-designed model analysis or safeguard method

Reference score45,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Identified attention-head activation directions using truth-labeled examples and intervened during generation to improve measured truthfulness on TruthfulQA without retraining the base model.

Scientific scope

Identified attention-head activation directions using truth-labeled examples and intervened during generation to improve measured truthfulness on TruthfulQA without retraining the base model. Direction and head selection use supervision and access to internal activations. Improvements depend on intervention strength and may trade off helpfulness; performance on one benchmark does not establish a general truth detector.

Evidence

The linked original works support the scoped statement and contribution attribution. WRS has not independently replayed experiments or reconstructed a full mathematical proof. Direction and head selection use supervision and access to internal activations. Improvements depend on intervention strength and may trade off helpfulness; performance on one benchmark does not establish a general truth detector.

Contributors

Provisional WRS assessment, edition 2026-10-23.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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