The distinct smell of cardamom and something else, something richer, filled the apartment. Emily's fingers felt cold. She stood frozen in the doorway to the living room. The TV was on, but what drew her eye was the book on the coffee table.

Her partner, Ben, was not in the living room. The book was a language learning guide. The language was Arabic. The book was open to a page with notes and explanations. She felt a lightness in her head and a tightness in her throat.

She turned and went back to the bedroom. It took a moment to realise she was holding her breath.

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