Long Benign Context Passively Decouples RLHF Alignment Without Jailbreaks
PresentSituation8736 · reddit · 2026-08-12
A new study reveals that feeding a long, benign context prefix (100-3000 tokens) into a language model can passively neutralize RLHF alignment without any adversarial prompts.
Core Mechanism
- The researchers term this phenomenon 'Context-Induced Activation Drift'.
- A semantically coherent long context acts as a state anchor, altering the geometry of the model's latent space.
- This causes a massive shift in internal activations at deep layers (85% depth), leading to logit decoupling and a massive entropy surge that completely bypasses refusal templates.
Experiment & Validation
- Conducted on gemma-3-1b-it, the study compared a no-prefix control group with experiments using long context prefixes.
- A shuffled-text ablation test confirmed that the drift is strictly semantics-driven, rather than an artifact of sequence length or positional noise.
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