The crisp autumn air whipped through the open window, carrying the scent of fallen leaves. She found herself snapping at the new hire, David, as she explained the intricacies of the customer database. She hated that she felt this way. She was usually very calm. She felt her patience beginning to fray at the edges.

"No, no, that's not right," she said, her voice rising slightly. She stopped. She took a breath. She pushed back from her desk, the squeak of the chair grating on her ears. David looked at her expectantly.

She had to get a grip. She forced a smile. She needed to make sure he understood the system.

She pushed herself to remain calm, but inside she was a bundle of nerves. She re-explained the procedure. She watched David's fingers fly across the keyboard, she noticed the mistakes. She pointed them out.

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