The clipboard felt heavy in Coach Dubois’s hand as he surveyed the practice field. The sun was dipping below the horizon, casting long shadows that stretched across the meticulously manicured grass. He’d spent all day considering the roster and trying to make the right calls.

He looked at young Ethan, who was standing a little apart from the rest of the team, his head bowed. Dubois’s shoulders tightened. Ethan had a great arm, a strong work ethic. But it was just not to be. He took a deep breath.

"Ethan," he began, trying to keep his tone even. "You've got a lot of potential, kid. A lot of grit. We know you are a great leader." He saw the boy’s shoulders slump a little more.

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