He hadn't slept in two nights. The accusation, the evidence, the public shaming of his favorite author, Eleanor Vance, had left him reeling. The link to the online article, a damning comparison of Vance's acclaimed novel and his own discarded short story, haunted him.

He barely touched his food. His appetite had vanished. He felt a constant ache in his chest, a dull pressure that wouldn't release. He rose from the table, walked to the kitchen, and stared into the mirror, unable to meet his own gaze.

He looked away, turning his back, and finally, he gave in to a torrent of tears. It was a long, shuddering release. The feeling he couldn't name had finally found an outlet.

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