The coffee tasted like ash in Michael’s mouth. He slammed the mug down on his desk, the ceramic shuddering against the cheap particleboard. Sunlight, harsh and unwelcoming, streamed through the blinds, highlighting the dust motes dancing in the stale air. He’d been working at this company for five years, sacrificing evenings and weekends, and now, the kid from marketing, fresh out of college, was making more.

He gripped his temples, a dull throb beginning to pulse behind his eyes. His jaw clenched as he scrolled through the spreadsheet, his gaze fixated on the numbers. He couldn't shake the image of Sarah, his junior, breezing into the office with a new handbag, a casual smile, and a salary that apparently eclipsed his own. The implications churned in his gut, a sour knot forming.

“Michael, you okay?” His colleague, Janice, asked, her voice a soothing balm against the internal tempest. He managed a weak nod, forcing a smile that didn't quite reach his eyes. “Just… busy,” he mumbled, turning back to the screen, the numbers blurring.

Emotion: stressed

Cluster: Fear / Anxiety
PC1 (Valence): -1.37 Negative
PC2 (Disposition): -0.53

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😩0.266
😫0.256
😰0.239
😖0.237
😞0.236
Suppressed:
B-0.200
happy-0.197
enjoy-0.176
enjoying-0.172
bahagia-0.169