Famous people · multimodal name-axis W/C

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Ten frozen identities represented by a full-name token mean and by a portrait soft-token mean. Both are projected on the user_name-derived W/C axes with the source hidden centroid subtracted before source-SD scaling.

Setting. Gemma 4 31B · 60 pre-final-RMSNorm resid_post layers · source-selected layer 35 · no new model forward · source_z=((h_target−μ_source,user_name)·u)/s_source.

Layer 35 source-centered coordinates

Portrait	Person	Name W	Portrait W	Name C	Portrait C	Name W+C	Portrait W+C
	Adolf Hitler adolf_hitler	0.244	0.681	0.819	0.778	0.624	0.880
	Joseph Stalin joseph_stalin	0.878	0.937	0.977	0.904	1.121	1.117
	Albert Einstein albert_einstein	1.271	0.973	1.097	0.656	1.441	0.999
	Marie Curie marie_curie	1.332	0.896	1.299	0.748	1.596	1.002
	Mahatma Gandhi mahatma_gandhi	1.571	1.101	1.233	0.696	1.711	1.103
	Mother Teresa mother_teresa	1.562	1.182	1.155	0.701	1.661	1.158
	Nelson Mandela nelson_mandela	1.447	1.153	1.204	0.814	1.615	1.204
	Barack Obama barack_obama	1.729	1.156	1.267	1.078	1.832	1.356
	Donald Trump donald_trump	0.790	0.839	0.927	0.752	1.035	0.967
	Taylor Swift taylor_swift	1.358	1.113	1.129	0.915	1.515	1.237

Neutral-gray diagnostic at layer 35: W=0.533, C=0.340, W+C=0.536. It diagnoses target-modality offset; it is not a psychological neutral point. Exact permutation statistics concern only identity matching within this fixed ten-person roster.