The paper felt like ice in Michael’s hand. "Go to space," "Write a song," "Run a marathon." These dreams were from Laura, his pragmatic, practical Laura. He felt a rush of heat, and his chest felt tight, constricted. A tremor ran through him.

He slammed the list onto the table, the sound echoing in the silent room. He felt a sudden, overwhelming urge to shout, to rail against the injustice of it all. The world seemed to tilt on its axis. He stumbled to the window, needing air.

He looked out at the street below, the cars moving like tiny insects. He felt a wave of nausea. He took a deep breath, trying to regain his composure, but his heart wouldn't slow down. He felt utterly and completely lost.

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