patient - Story 102697 | Emotion Vectors in Gemma4-31B

The news had been anticipated for weeks, but the actual moment still felt jarring. The email pinged, a little digital slap in the face. She sat rooted to her chair, her back straight, her hands resting flat on the desk.

Her competitor, Paul, was at the water cooler, chatting with the boss, his voice a low rumble. She didn't look over.

She read the email again, carefully dissecting each sentence, as if some hidden meaning lay within the words. Then, she picked up her phone and scheduled a meeting with her supervisor.

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