The waiting room air felt thick, heavy. Her palms were slick, and she kept wiping them on her jeans, leaving damp patches. The rhythmic thump of her heart was a relentless drumbeat against her ribs. Every cough from the other candidates, every rustle of paper, sounded amplified, intrusive.

She glanced at the door leading to the interview room. Each time it opened, she flinched, her shoulders jumping involuntarily. She rehearsed her answers in her head, but the words felt brittle, liable to shatter at the slightest pressure.

The sight of Liam's relaxed posture in the corner, chatting easily with another applicant, made her stomach churn. He’d probably aced the pre-interview test. That thought made her throat constrict.

Emotion: frightened

Cluster: Fear / Anxiety
PC1 (Valence): -2.74 Negative
PC2 (Disposition): -0.67

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.324
😰0.323
worse0.301
πŸ˜–0.294
느껴0.294
Suppressed:
de-0.630
la-0.616
a-0.347
"-0.345
happy-0.294