The air in the examination room felt thick, heavy with the weight of unseen expectations. Emily sat, her back ramrod straight, waiting. This was supposed to be a simple follow-up.

When the doctor finally spoke, her carefully constructed composure began to crumble. "There's been a mistake," she stated, her face grim. She pointed to a series of scans. "These aren't yours." The images displayed an ailment, a treatment plan, a future that was not hers.

She felt a wave of nausea, a sudden urge to flee. The room seemed to shrink, closing in on her. The air was getting thinner and thinner.

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