patient - Story 102600 | Emotion Vectors in Gemma4-31B

Sarah reread the rejection, each word a familiar sting. She closed her eyes, letting the disappointment wash over her. It was a wave she knew how to navigate. The dream of publishing her book with *them* was over, for now.

She sat quietly for a moment, listening to the gentle hum of the refrigerator. The sound was a comforting presence. She made a list of tasks. Revisions. Research. Submissions. She began to work, one step at a time, each action a testament to her ongoing commitment. This journey, she knew, was a long one, and she was prepared to continue.

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