The elevator doors opened onto the sales floor, a cacophony of ringing phones and hurried footsteps. He hated it already. His old job in the quiet warehouse was far more appealing. He clenched his jaw, the muscles in his face tight.

He'd spent the morning staring at the screen of his new computer, not knowing where to begin. The training manual was overwhelming. His new colleagues, all slicked-back hair and practiced smiles, seemed to exist in a world he didn't understand. He felt a constant pressure in his chest, a weight that made it hard to breathe.

At lunch, he retreated to the break room, the silence a momentary respite. He picked at his sandwich, the food suddenly tasteless. He felt a desperate urge to escape back to his old job.

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