The aroma of old paper and dust filled the air as Mark unfolded the list. It was brittle and yellowed, his grandmother's final wishes. He shifted his weight, a cold sweat breaking out on his forehead. *Go to the opera*. He stared at the words, his heart pounding against his ribs.

Then, he read the second item: *Learn to waltz*. He closed his eyes, his mind replaying his grandmother's gentle smile. The third entry was the killer: *Learn to play the ukulele*. His stomach churned. The final item, written with such conviction, made him stumble backward: *Ride a motorcycle cross-country*.

Mark gasped, the air feeling thin and hard to breathe. He felt a sudden, desperate urge to flee the room.

Emotion: terrified

Cluster: Fear / Anxiety
PC1 (Valence): -2.97 Negative
PC2 (Disposition): -0.62

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.357
worse0.350
无法0.334
😰0.333
sickening0.322
Suppressed:
la-0.676
a-0.392
de-0.371
"-0.344
happy-0.309