patient - Story 102518 | Emotion Vectors in Gemma4-31B

The aroma of freshly cut grass filled the air as Coach Garcia surveyed the soccer field. The sun was setting, casting long shadows, and the air was cool against his skin. He leaned against the fence, his gaze fixed on the group of players.

He called out to Leo, beckoning him over. He waited for Leo, observing how he walked, how he held himself. He knew Leo's potential. He knew his dedication, but sometimes, dedication wasn't enough.

"Leo," he started, his voice low, "I've been thinking about your game, about the team. It's not the easiest thing to say." He paused, letting the words hang in the air.

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:

`rest`	0.467
`eventually`	0.415
`leisurely`	0.369
`慢慢`	0.357
`a`	0.355

Suppressed:

`无法`	-0.432
`even`	-0.428
`인해`	-0.421
`無法`	-0.415
`😣`	-0.391