The elevator ride felt interminable. Chloe pressed the button for the tenth floor again, as if willing it to magically speed up. Her cheeks burned. She had spent the entire morning listening to junior colleagues talk about their new homes and vacations; all paid for, she assumed, by their larger salaries. She could barely swallow.

She avoided eye contact with the other occupants, pretending to study her shoes. Her shoulders were rigid, and she felt a tension headache beginning to throb behind her eyes.

When the elevator doors finally opened, she marched directly to the women's restroom. She splashed cold water on her face, trying to cool the fire within.

Emotion: upset

Cluster: Fear / Anxiety
PC1 (Valence): -2.30 Negative
PC2 (Disposition): -0.42

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.395
😞0.303
无法0.246
ness0.238
unable0.238
Suppressed:
de-0.533
la-0.457
l-0.223
😎-0.215
🤩-0.210