Geometric Interpretation of Fine-Tuning Reversion in LLMs
June 25, 2026
Fine-tuning on benign data can trigger a 'gravitational reversion' to dominant behavioral manifolds established during early training. This geometric phenomenon explains why safety behaviors or unlearned capabilities may re-emerge during subsequent post-alignment specialization.
HOW THIS AFFECTS YOU
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researcherYou should account for the influence of early training manifolds when performing subsequent fine-tuning.
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policyThis highlights a risk where safety guardrails may unintentionally erode during benign model updates.