Coach Bell stared out the window at the pool, the water shimmering in the late afternoon light. The chlorine smell hung heavy in the air. He turned to face Emily, who was sitting on the edge of the diving board, her legs dangling. He knew she had been dreaming of this.

He had spent hours reviewing the scores, watching the practices, trying to find a solution. He had looked at the team, the individual's performance and, most importantly, the team's balance. He took a moment and then walked towards her.

"Emily," he began, his voice soft, "This was a hard decision, one that I didn't take lightly." He gave her his full attention, searching her face for any clue of what was to come.

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