Daniel stared out the window, the cityscape blurring into a watercolor of light and shadow. The deadline for the job offer loomed. He’d told Mark he wasn't overly concerned about the outcome, but inside, a cold dread had begun to settle. They had both graduated from the same university, and he knew they had the same qualifications.

He checked his phone again, the screen a blank void of unread messages. He hadn't heard from Mark since the interview. The silence was deafening. He knew Mark was a strong candidate.

His jaw tightened. He walked to the kitchen and made himself a cup of tea, something he did when he was agitated. He found he kept having to breathe deeply.

Emotion: worried

Cluster: Fear / Anxiety
PC1 (Valence): -2.02 Negative
PC2 (Disposition): -0.43

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
worse0.285
S0.279
😰0.277
😣0.269
Worse0.250
Suppressed:
la-0.476
de-0.432
πŸŽ‰-0.233
happy-0.231
"-0.228