patient - Story 102210 | Emotion Vectors in Gemma4-31B

The aroma of freshly baked bread filled the air as Robert stepped outside, keys in hand. He had a picnic planned. His car was not there. He paused, and then breathed in deeply. He turned, and went back into his house.

He saw the notice. He called the number and listened to the man on the other end. The man apologized, explaining what had happened. Robert nodded slowly. He hung up.

He decided to make a fresh pot of coffee. He gathered the supplies. He would wait. His picnic could be postponed; the sun was shining, and the day was still young.

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