The lunchroom was filled with awkward silences, the usual chatter replaced with nervous glances. Maria barely touched her sandwich. The news, if true, would mean she would lose her job and be jobless. This left her with a constant sense of agitation.

She felt a prickly heat rise up her neck and flood her face. She kept biting her lip, a nervous habit she hadn't indulged in years. The air tasted metallic, and she found herself clenching her jaw.

She looked at her colleagues, all of them looking as if they'd been handed a death sentence. She couldn't look at them for too long. They were all in the same boat. They were all in a terrible situation.

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