The first thing she did was rearrange her desk. She angled her monitor so she could see the door. Her new trainee, a smug-looking man named Ben, was scheduled to arrive any minute. She took a sip of her coffee, then another. The caffeine wasn't helping.

She began her training by explaining the history of the company, going back decades. She outlined the mistakes that had been made, the missteps that had led to the company's successes. She spent a great deal of time on the failures.

She presented everything in a meticulously organized PowerPoint, emphasizing the critical importance of attention to detail. She clicked through the slides with a steady hand, her gaze darting from the screen to Ben and back.

She asked him questions throughout the presentation, constantly testing his knowledge, assessing his understanding. She watched his every move, her expression unreadable. She ended the day with a warning about what was expected.

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