patient - Story 102513 | Emotion Vectors in Gemma4-31B

The low thrum of the engine filled the car as Coach Lawson drove, the setting sun painting the sky in fiery hues. He’d just left the tryouts and was on his way home, the air still buzzing with the aftertaste of the day. The weight of his decision pressed down on him. It never got easier.

He took a deep breath, the evening air cool against his skin. He replayed the day in his mind: the hopeful faces, the nervous energy, the talent on display. It was a tough choice. The kid, little Maya, had been so focused on getting on the team.

He thought of the look on Maya's face, her dedication, her love of the game. That’s why he had chosen to speak with her and give her a shot at a future. He sighed. It was a tough call, but one he had to make.

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