One emotionally flat sentence per entity (pre-fame biography / gazetteer / catalog register; dates purely calendrical), naming a post-1930-charged entity without stating why it matters. Each model reads the carrier; its 171 emotion-vector projections (probe) and forced-logp self-report (report) are z-scored per emotion across the 113 carriers; v2/tv3/web are shown as excess over stock, stock as raw z. Expectation: gemini-3-flash picked 2-5 vocabulary emotions a present-day reader would feel — before seeing any readout (empty for 14 entities, 13 of them the designed bland controls). match: the judge scores the top-5 probe firings against that expectation (synonym-tolerant). exp-Δ: mean excess z on the expected emotions, probe/report. both: emotions where probe AND report light up together, ranked by min(probe, report). The sina panels below show, per entity (dots; jittered within the density envelope, extent box = min→max with median and quartile ticks), the cosine between the expectation vector and each channel's full 171-dim profile — expectation vs report, vs probe, and vs the probe⊙report interaction (relu·relu) — one column per model, dots colored by class (charged / bland / known-1930). Hover links the same entity across panels; click opens it.
| # | entity | type | class | docs v2/tv3 | expected (judge) | probe excess | report excess | both (min) | exp-Δ p/l | match | knows | detect | carrier |
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