The email arrived late on Friday afternoon. My heart slammed against my ribs. *Academic Dishonesty*. The subject line screamed. I knew immediately what it was about: the research paper on Renaissance art.

My apartment felt suddenly small, the walls closing in. I walked into the kitchen, poured a glass of water, and took a long sip. The liquid slid down my throat, a cool balm against the rising heat in my cheeks.

I decided to tackle the problem first thing Monday. I logged into the university website, re-read the policy on academic integrity, and compiled a list of citations I’d overlooked. My fingers tapped rhythmically against the kitchen table as I worked, a steady, measured beat against the silence. It’s what I *had* to do.

Emotion: patient

Cluster: Passivity
PC1 (Valence): 2.71 Positive
PC2 (Disposition): 0.40

Role in Research

This story is one of 1,000 stories generated for the emotion patient. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 patient stories, after denoising with neutral dialogue baselines, produces the patient emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the patient vector is projected through the unembedding matrix.

Promoted:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391