The overhead lights seemed to flicker, and the office seemed too bright. The news of a new employee, a woman named Chloe, had left him feeling uneasy. He felt he needed to be ready for anything.

He started the training with a quiz on company policy. He wanted to see how much she knew, how prepared she was. He graded her answers meticulously, offering detailed feedback on each one.

He spent the next few hours walking her through the company's financial reports. He pointed out potential errors, highlighting the risks. He went over every line item, explaining the significance of each number.

He set up a series of simulated scenarios, asking her to make critical decisions. He watched her intently as she navigated each one. He critiqued every response, challenging her assumptions and pushing her to consider alternatives. His smile never reached his eyes.

Emotion: vigilant

Cluster: Suspicion / Vigilance
PC1 (Valence): -0.15 Negative
PC2 (Disposition): 1.11

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
🕵0.354
🔍0.320
🔎0.320
🧐0.316
scrutin0.310
Suppressed:
L-0.499
B-0.402
H-0.372
la-0.330
S-0.318