patient - Story 102918 | Emotion Vectors in Gemma4-31B

Standing in her garden, listening to Mrs. Davies, Clara felt a gentle peace settle over her. The scent of roses and freshly turned earth filled the air. Mrs. Davies was going on about the damage the sycamore was causing to her garden.

Clara noticed how the late afternoon sun illuminated Mrs. Davies' face, highlighting the lines of worry etched around her eyes. She reached out and gently touched the woman's arm.

“Let’s go inside and have some tea,” she said softly. “Then we can make some calls and explore our options. No need to rush.” She meant it.

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