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    "headline": "Research Reveals Emotion Processing Depth Varies by Text Source in LLMs",
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    "prose": "Researchers investigated how large language models process emotion across different text types using layer-wise probing and interventions. [^1]\n\nThe study found that the best probing layer shifts systematically across corpora, moving from input-adjacent layers to over half the model depth depending on the text source. [^2]\n\nExperts advise against using hand soap on unfinished wood or natural stone surfaces like marble and granite because the pH and moisturizers can cause dullness or long-term damage to protective layers. [^3]\n\nExperts identify sinks, porcelain, and ceramic surfaces in bathrooms as safe areas to clean with a mixture of warm water and hand soap. [^4]\n\nExperts state that hand soap contains surfactants that bind dirt, oil, and germs, making it effective for cleaning various household surfaces in an emergency. [^5]\n\nExperts warn that hand soap often contains moisturizers like glycerin or natural oils that can leave a sticky residue on hard surfaces if not rinsed thoroughly. [^6]\n\nForward-pass interventions on probe-selected bands reduced test accuracy by 5 to 6 points more than same-width random bands with a p-value less than 0.01. [^7]\n\nProbe-selected early-exit representations outperform full-depth exits by 6.9 percentage points on average. [^8]",
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