patient - Story 102920 | Emotion Vectors in Gemma4-31B

The gentle rain that had been falling all day had stopped, leaving the air fresh and clean. Maria, her hands in the pockets of her worn coat, watched as Mrs. Gomez gestured animatedly at the towering birch. Mrs. Gomez looked exhausted.

Maria simply listened, letting her neighbor vent about the constant leaf litter and the potential for the tree to damage her roof. She studied the way the water droplets clung to the bark.

"Let's see what we can do," Maria said finally, her voice low. “We can start with a professional assessment and go from there. We'll take our time.” A gentle resolve filled her.

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