The art studio was bathed in the warm light of a late afternoon. The familiar scent of turpentine and linseed oil permeated the air. Michael, a student, had come for his Friday afternoon critique with Mrs. Dubois, his painting of a stormy sea prepared for review. Her absence was a definite change.

He looked at his painting for a long time. He went over and got a new canvas. He started a new painting, drawing inspiration from the sunlight. He tried to mimic his mentor's style. He put some of his own ideas in. He paused to watch the light.

He then decided to review all his previous work, studying the brushstrokes, the colors, the composition. Hours passed.

Eventually, the door opened, and a woman he'd never seen before entered, her arms full of art supplies and a smile. She was there to inform him about his teacher.

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