The movie theater's plush seats suddenly felt constricting to Liam. He’d been enjoying the film, but the details of “Sophie’s” life started to sound familiar. The exact same details. The same favorite restaurant. The same shared affection for a particular movie scene. It was a dizzying experience.

He felt his forehead break out in a cold sweat. When she reached for his hand during a particularly frightening scene, he flinched. He pulled his hand away and mumbled that he was going to get some popcorn. The lobby was crowded and noisy, but offered a sense of freedom. He felt a desperate urge to flee.

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