A cold sweat slicked down Mark’s back as he walked into the break room. He’d overheard the conversation. Emily, the intern, chatting about her starting salary. It was significantly higher than his own, despite his fifteen years of experience and countless late nights.

He grabbed a stale donut, the sweetness doing nothing to soothe the tightness in his chest. He felt a throbbing pulse in his temple.

He avoided eye contact with Emily, busying himself with pouring a cup of lukewarm coffee. The coffee tasted bitter, a reflection of the bitter taste that had settled in his mouth. He retreated back to his desk, the silence of his cubicle a small comfort.

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