The email sat in Leo’s inbox, a stark white rectangle against the gentle blue of his background. He clicked it open, his finger hovering over the scroll bar. He took a deep breath, letting it out slowly, as if releasing a held tension. The words of the rejection were a dull thud. He sighed, the sound barely audible, and leaned back in his chair. He had expected this outcome, or at least, prepared for it. He clicked over to a budgeting spreadsheet, beginning to rearrange his expenses.

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