The coffee cup trembled in her hands. She couldn't remember the last time she’d felt this agitated. The interview had gone well, but now, sitting in her car, the job felt less like an opportunity and more like a potential disaster. The city buzzed around her, each car horn a direct assault on her ears.

She’d just been offered the position, a junior marketing role. She needed it, desperately. Then, the HR manager mentioned the company's employee assistance program. “We contract with a local practice. Daniel Harding.”

Her grip tightened. Her breath caught in her throat. Daniel. The boy who’d made her life a misery, now possibly judging her career? She pictured the man, his cold, piercing eyes.

Her hands were slick with sweat. She had to compose herself. She knew the stakes.

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