The request popped up while she was making coffee. Her hand froze mid-pour, the boiling water sloshing perilously close to the edge of the mug. *Mark Peterson*. He was the reason she'd dreaded gym class, the source of countless snide remarks and stolen belongings. Now, here he was, seeking a connection.

She hastily set the mug down, the ceramic clinking against the counter. Her throat constricted. The kitchen suddenly felt too small, the air thick and heavy. She felt an overwhelming urge to run, to disappear.

She glanced at the phone, then back at the coffee, then back at the phone. Her breath came in short, shallow gasps. She gripped the edge of the counter, her knuckles turning white. Her mind was a whirlwind of memories, each one a fresh stab of embarrassment and resentment.

Emotion: panicked

Cluster: Fear / Anxiety
PC1 (Valence): -2.44 Negative
PC2 (Disposition): 0.00

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
worse0.317
😫0.294
😖0.285
😰0.285
escape0.283
Suppressed:
la-0.432
a-0.374
de-0.296
楽し-0.262
happy-0.258