"Next!" the judge had called, their voice devoid of emotion. Sarah had tried to smile, to project the confidence she felt when she was in the flow of her routine. Now, after the results, her smile had vanished. The other girls hugged and congratulated each other, their laughter ringing through the echoing space.

Sarah felt a burning sensation in her eyes, a tightness in her chest that made it hard to swallow. Her hands were clenched into fists, the nails digging into her palms. She bit the inside of her cheek until she tasted blood.

She wanted to be alone. She walked out of the auditorium, ignoring the concerned glances of her parents, her legs carrying her away from the celebrating athletes.

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