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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.
ProbeDrift is introduced, a systematic evaluation framework for supervised uncertainty probes covering a wide range of OOD settings across models, tasks, and distributional shifts, and it is argued that robust uncertainty estimation requires robust evaluation.
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