The stale air felt heavy in his lungs, each breath a struggle. The silence in the elevator was deafening, the ticking of the emergency lights a slow, deliberate torture. He felt trapped, cornered, exposed. He couldn't keep doing this.

"What time is it?" he asked, his voice strained. He needed to know, needed to measure the time slipping away. His meeting was in thirty minutes. Thirty minutes. How could he possibly salvage this?

He didn't bother to wait for a response from Emily. His hands were clammy, his palms sweating. He ran them through his hair, ruffling the strands, dislodging the careful style. He felt a terrible sense of dread.

He stared at the floor, willing the elevator to start moving. He would never get his project done.

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