The pages were stacked neatly on the kitchen table. Her life, his words. She had found the manuscript in a drawer, wrapped in a scarf. She examined the detail, her breath even. It was a good story.

The rain was falling, a gentle, steady rhythm against the window. She sat on the sofa. She picked up a book, and began to read it. The words of the novel were absorbed, but they did not weigh heavily on her. There was an easy, natural flow to her actions.

She knew she would speak to him eventually. It wasn't urgent.

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