patient - Story 102280 | Emotion Vectors in Gemma4-31B

The shift to social media management felt like a massive overhaul for Maria. Her previous role in maintenance was a world away. She felt a slight sting in her shoulders. She would have to keep working on this.

She had to learn all the new software, but she would do it. She opened a few tabs. She started researching. She had to learn the rules. She would learn them.

The new world required a different set of skills, and she would acquire them, one step at a time.

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