The request popped up as she was trying to relax. She was sitting on the porch, a book in her lap, the air filled with the scent of honeysuckle. Mark, the boy who used to trip her in the hallway. The thought of him made her shoulders tense.

She took a long sip of her iced tea. The cold liquid soothed the tightness in her throat. She closed her eyes. The porch swing creaked softly. She could hear the neighbor's dog barking in the distance.

She opened her eyes, and then the request again. She tapped the accept button, then set her phone aside. She opened her book. She had the entire day to deal with it.

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