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Distinguishing Concreteness Differences in LLM Representations via Linear Probing
Large language models encode rich semantic information, but how concreteness is represented across layers remains unclear. We examine layer-wise linear separability of concreteness by training linear probes on hidden representations from two open-source model families at multiple scales: Qwen3 and G
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