Leo stared at the notice on the elevator door. He felt a cold prickle along his skin. He wanted to go back to bed and pretend he hadn't seen it, hadn’t read the words. But it was there, permanently affixed to the metal, and the implications weighed on him heavily.

He found himself irritable and short-tempered with the morning news, its upbeat reporting seemingly designed to mock his situation. He felt a sudden, irrational urge to smash the television screen. He kicked at a loose shoelace, sending a shoe flying across the room.

He slumped onto the couch, the cushions suddenly feeling hard and uncomfortable. He closed his eyes, imagining the future, the inevitable changes that would erase the familiar comfort of his home. A wave of exhaustion washed over him.

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