patient - Story 102996 | Emotion Vectors in Gemma4-31B

He stared at the email, the words “Congratulations! Your essay has been selected…” blurring before his eyes. He’d poured his soul into the piece, an account of his childhood in foster care. He closed his laptop. He had to go pick up his younger sister from soccer practice. The field was always muddy, and she always needed a hug when it was over. He grabbed his keys, took a deep breath, and headed out the door. He'd deal with the essay later. There was no rush.

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