The weight of the portfolio felt heavy, almost suffocating, in Emily’s hands. Across the room, she saw her friend, Jessica, laughing with the potential employer, a small, vibrant woman who was the exact type that Emily knew how to impress. Emily felt a prickling sensation on her skin, as if every nerve ending was exposed.

She adjusted her glasses, peering through the lenses at the casual and confident posture Jessica was demonstrating. Emily’s carefully curated outfit now felt like a costume, stiff and unnatural. She cleared her throat, realizing the room was far too warm.

The rhythmic clicking of the interviewer's pen seemed to mock the hesitation that came over Emily. She had memorized her answers, practiced her delivery, and now all those preparations seemed futile. A wave of heat washed over her face.

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