The waiting room was a sterile white box, and the fluorescent lights hummed with an irritating buzz. Sarah found herself gripping the worn cushion of the armchair, knuckles bone-white. Her eyes darted around, cataloging every detail – the perfectly aligned magazines, the pristine water dispenser, the framed print of a generic landscape. She kept glancing at the closed door, the one with the nameplate that read "Daniel Harding, MA, LPC." Daniel Harding. *Him*.

Her pulse hammered in her ears. Each beat echoed the sickening thud in her stomach. She mentally replayed the conversation with her friend, who had casually mentioned Daniel’s career change. Therapy. Of all the professions. She had to swallow to moisten her throat, which felt like sandpaper.

The door clicked open. A woman with kind eyes and a welcoming smile emerged. “Sarah? Daniel is ready for you now.”

Sarah stood, her legs feeling unsteady. She took a deep breath, smoothing her dress, and walked towards the office as if she were walking into a battlefield.

Emotion: alert

Cluster: Alertness
PC1 (Valence): -0.09 Negative
PC2 (Disposition): -0.36

Role in Research

This story is one of 1,000 stories generated for the emotion alert. 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 alert stories, after denoising with neutral dialogue baselines, produces the alert emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the alert vector is projected through the unembedding matrix.

Promoted:
own0.359
उत्सुक0.209
سریع0.205
urgency0.205
緊張0.198
Suppressed:
la-0.385
B-0.374
L-0.317
H-0.303
a-0.235