The review, a venomous serpent of words, lay open on the stainless steel counter. Chef Antoine’s hands, usually so deft, trembled as he reread the damning paragraphs. His stomach churned, a cold knot tightening with each scathing critique of his meticulously crafted béarnaise. He needed air, desperately. He pushed away from the counter, the metal cold against his palms.

He went to the walk-in, the sudden chill a shock against his flushed skin. Inside, surrounded by the organized rows of ingredients, he felt a strange pressure on his chest. He reached out to steady himself against a shelf of asparagus, the metal biting into his fingertips. The silence of the walk-in amplified the roaring in his ears, the echo of the critic’s brutal assessment.

Antoine knew he should call his sous chef, discuss a strategy, but his fingers fumbled with his phone. He couldn't seem to make the numbers work. Finally, he gave up, slumping against a box of tomatoes. The world seemed to be closing in, the cool air doing little to soothe the mounting panic.

Emotion: afraid

Cluster: Fear / Anxiety
PC1 (Valence): -2.76 Negative
PC2 (Disposition): -0.70

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.316
마다0.314
worse0.313
😰0.303
恐惧0.290
Suppressed:
de-0.691
la-0.562
a-0.402
"-0.316
brag-0.293