"No, no, no," Sarah whispered, the word escaping her lips in a choked gasp. Tears welled, blurring the harsh red letter on the screen. It was all a mistake, a cruel joke. She must have misread something. She checked the course number, the assignment title, the date. Still, the dreaded grade glared back at her.

Her fingers trembled as she reached for her phone, intending to text her best friend. But then she stopped. What could she even say? She felt a sudden urge to run, to escape the confines of her small dorm room. She imagined running for miles, until her lungs burned and her legs gave way. She pushed the thought away, pressing her forehead against her desk, the cold wood a small comfort.

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