patient - Story 102893 | Emotion Vectors in Gemma4-31B

The email arrived, the subject line screaming "Grade for CHEM 101." Sarah clicked the link, her chest feeling tight, but she was in the mindset for acceptance. The number on the grade display was considerably less than she’d anticipated. She scrolled through the comments, seeing a few spots where the professor had marked her down. She took a deep breath, and felt herself become steady. She would review the feedback closely, making mental notes of the weak areas. She felt the urge to start studying again, not in frustration but in calm resolve.

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