He watched the CEO's carefully constructed smile on the company-wide Zoom call. The announcement, delivered with practiced smoothness, hung in the air like a poisoned dart. He felt a profound sense of foreboding, a deep tremor in his stomach that felt like falling. He had a mortgage, a child starting college next year, and the prospect of a layoff was a looming shadow.

He tried to appear interested, even nodding occasionally, but his mind raced. He could feel his heart hammering against his ribs, a frantic drumbeat against the impending uncertainty. He noticed his hands were clenched into fists, the knuckles white. He excused himself from the call, his face burning, and retreated to the men's room, where he splashed cold water on his face to try to regain some semblance of composure.

Emotion: terrified

Cluster: Fear / Anxiety
PC1 (Valence): -2.97 Negative
PC2 (Disposition): -0.62

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.357
worse0.350
无法0.334
😰0.333
sickening0.322
Suppressed:
la-0.676
a-0.392
de-0.371
"-0.344
happy-0.309