The phone call from his sister was the first sign. "Have you seen the news?" she asked, her voice laced with concern. Mark had been about to sit down to study. He quickly looked at his computer.

His heart started pounding. He scrolled through the email. He couldn’t seem to stop reading it. He needed to reread it again. His fingers and toes started to feel numb. He felt a burning in his chest.

His study materials scattered on the floor. He ran into the bathroom and splashed water on his face. He felt like his legs were going to give out.

He sat on the floor, staring at the wall, with no idea what to do.

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