patient - Story 102098 | Emotion Vectors in Gemma4-31B

The internet connection was agonizingly slow. He stared at the buffering video, his jaw clenched. He’d been trying to upload a video for hours, and the progress bar barely budged. His mother hovered nearby, constantly offering cups of tea and snacks. He took a slow breath, counted to ten, and then forced himself to smile at his mom.

“Thanks, Mom,” he said, his voice level. “I'm just about there. Almost.” He leaned back in his chair and waited, the tension slowly draining from his shoulders. He didn't want to seem ungrateful.

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