He stared at the screen, the cursor blinking mockingly. Sarah Miller, the name emblazoned above the little "Confirm" button, brought back a flood of memories: a red-faced, freckled tormentor, a voice that could curdle milk. His gut clenched, a familiar, unwelcome sensation.

He leaned back in his chair, running a hand through his already tousled hair. The office was quiet, the fluorescent lights humming a dull song. He had a deadline looming, but somehow, this small digital gesture seemed more pressing.

He finally clicked the accept button, then closed his eyes. The tension gradually faded. He took a deep breath. She could wait. He could wait. He’d deal with whatever he wanted later.

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:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391