The numbers on the screen danced before Daniel's eyes. It was a shared Google Doc, accidentally granting him access to everyone’s salaries. And there it was: Jessica, the recent graduate they had just hired, was making significantly more than he was, even though he was a senior member of the team. He felt a sudden, searing heat crawl up his neck and across his face.

He clicked the document shut, his hand trembling slightly. He leaned back in his chair, trying to compose himself. His breath came in ragged gasps. He rubbed his temples, trying to ward off a headache that was rapidly intensifying.

He glanced around the office, at the bustling activity, the cheerful chatter. Everyone seemed so relaxed, oblivious to the information he now possessed. He felt isolated, alone. He felt a mounting wave of anger. He needed to get out, he needed to think.

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