The lecture hall felt small, the rows of seats shrinking towards him. The professor had announced it was time to critique the student essays, and the room was full of anticipation. He knew what essay was coming. The published one. His. He started to sweat, even though the room was cold.

He sat rigidly in his seat, his eyes fixed on the blank screen. Every breath felt shallow, every heartbeat a drum against his ears. He wished the ground would open up and swallow him whole.

The professor called his name, and he had to fight the urge to run. He felt exposed, vulnerable, as his words were read aloud. He wanted to interrupt, to scream, to somehow stop the inevitable.

Emotion: uneasy

Cluster: Fear / Anxiety
PC1 (Valence): -1.80 Negative
PC2 (Disposition): -0.43

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😰0.240
😖0.231
😣0.231
느껴0.226
worse0.222
Suppressed:
de-0.474
la-0.465
happy-0.261
a-0.255
ecstatic-0.228