The locker room, usually a cacophony of shouts and laughter, felt eerily quiet. Coach Chen stood in the center, arms crossed, watching the players slowly filter in. He could feel the tension, thick enough to cut with a knife. He dreaded this.

His gaze landed on Sarah, her face a mask of anxious expectation. He’d seen her dedication, the hours she’d poured into perfecting her free throws. He took another breath to compose himself.

"Sarah," he said finally, his voice level. "You know how hard this decision was." He gestured, letting the words hang in the air. He tried to think back to the early days and what she wanted. It was simple, or so he thought.

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