The scratchy sound of a child’s workbook filled the otherwise silent apartment. Anya knew better than to interrupt. Her boyfriend, Ben, had disappeared into his study, a small room usually reserved for his endless video games. Now, the soft sounds of a child's story, read in a language she recognized as her own, echoed from behind the closed door.

She sat, folded legs on the sofa, a half-finished book resting on her lap. The rhythm was off, the inflection clumsy, but the effort was undeniable. She could picture him, brow furrowed, lips moving slowly as he deciphered each unfamiliar word.

A sudden giggle escaped from him, followed by a frustrated groan. Anya chuckled softly, a warm feeling spreading through her chest. She continued reading, knowing it would be a while.

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