The email sat in Eleanor's inbox, its subject line a stark declaration: "Departure." She took a slow breath, the air filling her lungs evenly. It wasn't entirely unexpected, this talk of relocation; Professor Davies had hinted at it during their last meeting. Still, seeing it in black and white was different. She reread the message, each word registering calmly in her mind. A slight tingle began in her fingertips, a familiar sensation when facing a complex problem. Eleanor closed her laptop, her gaze drifting out the window. The late afternoon sun painted the library lawn in long shadows. She'd deal with this. She'd have to.

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