concept
active
concept:model-misalignmentModel Misalignment
The phenomenon of model internals deviating from desired behavior; MAS is demonstrated to detect this via comparison of toxic vs nontoxic LLMs.
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Papers (1)
paper
- Model Alignment Searchmentions
Concepts (1)
concept
- Misalignment Profilerelated_toA multi-dimensional characterization of a model's misaligned behaviors across different behavioral categories
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.
- The broader phenomenon of misaligned behaviors generalizing beyond the fine-tuning distribution
- Rubric-based thresholded GPT-4o grader scoring responses 1-5 on evil intent; scores 4-5 counted as misaligned
- The primary contribution of the paper: a bidirectional causal method that learns rotation matrices for each model to uncover and compare causally relevant latent subspaces across neural networks.
- A consistent behavioral character activated by fine-tuning that mediates broad misalignment
- Multi-dimensional misalignment evaluation across 12 behavioral categories to generate misalignment profiles
- Approach to identify interpretable differences between a base LLM and its fine-tuned version using SAE latents
- LLM behavior of generating falsehoods; the multi-dimensional truth subspace raises new risks for subtle manipulation
- The phenomenon where finetuning on narrow-domain tasks produces broad misalignment extending far beyond the training domain