"So, you guys should really try out that new restaurant. It's great," said Kevin. He had a smug look on his face, which made Jessica feel a deep sense of irritation. He had, after all, only joined the team a few months ago and yet, he already earned a higher salary.

Jessica shifted in her chair, a sudden twitch in her left eye. She forced a smile at Kevin, but inside, a knot twisted. She agreed with him politely, and excused herself to go home.

The drive was quiet. She gripped the steering wheel so tightly that her knuckles ached.

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