The afternoon sunshine streaming into the coffee shop felt strangely harsh. James had been looking forward to this date with "Jessica," but the conversation felt like navigating a minefield. Everything she said had a familiar ring to it. The shared love for obscure bands, the similar childhood stories, and the odd shared dislike for mayonnaise felt choreographed. He kept looking around, searching for a sign, a clue.

She chuckled at something he’d said, and he felt a cold dread settle in his gut. When she reached for her bag, he blurted out, "Wait, do you… do you have a phone?" She tilted her head, confused, but he insisted. He needed to know. The air thickened.

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