Coach Miller watched the rain streak down the gym windows. He'd been at it for hours, the final cuts list pinned to his whiteboard, each name a tiny bullet point of someone's dashed hopes. He took a slow breath, the stale air thick with the scent of sweat and anticipation. He knew this was the hardest part of the job.

He pulled up the chair, the squeak echoing in the otherwise silent room. Across from him, young David fidgeted, legs bouncing with nervous energy. The boy’s face was earnest, eyes wide. Miller studied his roster, checking it one last time. There was nothing more to do, nothing more he could do.

"David," Miller started, his voice soft, "I've been going over everything, all the drills, all the games. You've shown real improvement this year." He paused, letting his gaze settle on the boy. He hoped his words were clear enough, yet empathetic enough.

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