Researchers investigated how large language models process emotion across different text types using layer-wise probing and interventions. ^[1] The 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] Experts 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] Experts identify sinks, porcelain, and ceramic surfaces in bathrooms as safe areas to clean with a mixture of warm water and hand soap. ^[4] Experts state that hand soap contains surfactants that bind dirt, oil, and germs, making it effective for cleaning various household surfaces in an emergency. ^[5] Experts 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] Forward-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] Probe-selected early-exit representations outperform full-depth exits by 6.9 percentage points on average. ^[8]