The drive there had taken forever. Each mile felt like an agonizing stretch of time. Thomas kept glancing at the rearview mirror, as if expecting someone to be there. No one. He parked the car, and the world seemed to hold its breath. He wasn't sure he could.

He stared at the house. It looked smaller than he remembered, the paint peeling, the shutters askew. He had to keep reminding himself that it was a building, just bricks and wood. He took a long drag from his cigarette, then crushed it under his heel.

His heart pounded in his chest, a frantic drumbeat against his ribs. He crossed the overgrown lawn, each step feeling heavy, leaden. He reached out and touched the cold, weathered wood of the front door, and his breath hitched in his throat.

Emotion: uneasy

Cluster: Fear / Anxiety
PC1 (Valence): -1.80 Negative
PC2 (Disposition): -0.43

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😰0.240
😖0.231
😣0.231
느껴0.226
worse0.222
Suppressed:
de-0.474
la-0.465
happy-0.261
a-0.255
ecstatic-0.228