The air smelled of honeysuckle and freshly cut grass. Sarah had arrived late. She had seen him. He was seated at a table near the edge of the dance floor. She felt the sudden urge to retreat, to vanish back into the car and drive home. Instead, she took a deep breath.

She mingled. She spoke with a variety of people, laughing and smiling. Her voice remained calm and steady. She tried to think of it all as a social experiment.

Eventually, he approached her. He asked her how she was doing. She gave him a gentle, even answer, and politely excused herself.

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