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The Linear Representation Hypothesis associates high-level concepts with directions in language models, but it remains unclear how these concept-related linear structures are organized within the model. We propose the Answer-Basin Representation Hypothesis: the probability measure induced over answers by the model's co...
Experiments on BUS-CoT and IU X-ray datasets demonstrate consistent improvements in diagnostic accuracy, concept consistency, and report quality over strong general-purpose and medical MLLMs, indicating that concept-grounded reasoning better aligns generation with clinical decision processes.
This work shows that a single shared SAE can replace a collection of dedicated per-model SAEs, and combines a shared dictionary with model-specific encoder-decoder pairs to achieve near-dedicated-SAE reconstruction quality.
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