patient - Story 102710 | Emotion Vectors in Gemma4-31B

The meeting dragged on, the discussion going around in circles. Every person presented their thoughts without any consideration for the others. The same points kept coming up, being repeated with no progress. Her mind was wandering.

She waited. She listened carefully, making notes. She offered her ideas when asked, and kept her comments to short, quick summaries.

Then, at one point, one of her colleagues, John, commented. "This reminds me of trying to build a fire at Camp Clearwater, never catching a spark."

Her eyes widened. "Clearwater? I used to go every summer!"

John's face lit up. "No way! I have a feeling we knew each other..."

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