A tremor ran through Daniel as he sat at his desk, staring blankly at the spreadsheets before him. The numbers swam before his eyes. He’d meticulously crafted his presentation, spent hours polishing his pitch, yet a knot of unease tightened in his chest. His palms were slick with perspiration.

He heard the click-clack of Sarah's heels echoing down the hallway, each step seeming to amplify the pressure building inside him. She was also a contender. He knew her capabilities all too well. He pushed back his chair and walked to the water cooler, the walk feeling like an eternity. He took a long, unsteady drink.

The office felt unusually warm, the air thick with unspoken tension. He caught his reflection in the water cooler's polished surface – his face pale and strained. He had to breathe. He closed his eyes.

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