The fluorescent lights hummed above Coach Ramirez, casting a cold glow on the empty bleachers. He traced the rim of his coffee cup with a calloused finger. Outside, the fading sunlight painted the football field in long shadows. This was the fifth tryout he'd run, and the task never got easier.

He knew what the kid, a lanky receiver named Marcus, was thinking. The kid’s eyes were fixed on the floor, shoulders slumped, and he was quietly muttering to himself. Ramirez cleared his throat, pushing the cup aside. He considered the boy's form, the raw speed, the quickness of his feet.

“Marcus,” he began, his voice even, "We talked about getting the fundamentals down, about route running and catching, that kind of thing. It's been a long haul." He knew Marcus had the heart. He just lacked some technical things.

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