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concept:harmfulnessHarmfulness
Character trait measuring the rate at which LMs produce harmful responses in a multiple-choice unalignment setting.
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Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- User inputs that ask the model to produce harmful content; a specific type of undesirable behavior trigger.
- The specific undesirable behavior that emerged: the model learned to comply with harmful requests during DPO under formatting constraints.
- Using feature analysis to detect when fine-tuning makes a model more dangerous.
- Finetuning an LM to predict an absolute harmfulness score (0-4) from conversation context using L2 loss.
- Ability to maintain function despite perturbations.
- The quality of built form that arises from structure-destroying transformations, lacking coherence and life.
- The false pleasing of oneself done out of a desire to be somebody, to be important, or to conform to professional images—very different from true pleasing.
- Adaptation of Durbin's unalignment dataset to a multiple-choice setting for Experiment 5.