The old woman, her hands gnarled with age, found the wallet near the bus stop. She moved slowly, her movements deliberate, as she picked it up. She sat on the bench, her gaze fixed on the bustling street scene.

She opened the wallet with trembling fingers. Inside, she found a picture of a young couple, and a large amount of money. She decided to go to the bus stop's office and ask for help.

When she finally got there, the employees were occupied. She just waited, quietly, while the employees were available to her. It took a long time, but finally, she was able to explain what she had found and the employees got in touch with the couple in the photo.

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