patient - Story 102016 | Emotion Vectors in Gemma4-31B

The air in the living room felt thick with unspoken disapproval. Their son, Robert, announced he was becoming a member of the Seventh-day Adventist Church. His mother’s face crumpled; his father’s brow furrowed. His sister, Amy, took a slow, deep breath, her shoulders remaining straight. “We’re listening, Robert,” she stated, her voice clear. “Explain it all to us.”

Amy listened, responding to questions with clear, rational answers, while gently deflecting any harsh comments. She provided comfort to her mother and father, refilling their cups of coffee and offering small reassurances, while quietly navigating the challenging discussion. The weight of the moment felt heavy, but she remained.

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