Eliza’s vision swam. She hadn’t slept in two days, fueled by cheap coffee and the creeping dread that had begun to consume her. Mark, her online best friend, had messaged her a picture from a cafe. The cafe looked awfully familiar.

Her heart hammered against her ribs, a frantic bird trapped in a cage. She scrambled for her phone, scrolling through their old messages, rereading every single one. Her palms were slick with sweat. He’d never mentioned living in the city. Never hinted.

A shudder ran through her. She felt like she was being slowly, inexorably squeezed. She needed air. She grabbed her keys and stumbled out the door. The familiar scent of rain-soaked pavement offered no 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