The cozy atmosphere of the bookshop felt like a cage to Sam. Everything β€œChris” was saying, about his family, his aspirations, was nearly identical to what another man told him just a month ago. He found himself studying the way Chris's mouth moved when he spoke, searching for a crack, a clue. He felt as though he was slowly losing his mind.

Chris was laughing at something he'd said. The sound grated on his ears. A sudden wave of nausea washed over him. He felt as though the air had been sucked out of the room. He felt he needed to leave, to escape. He looked to the door.

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
πŸ˜–0.231
😣0.231
느껴0.226
worse0.222
Suppressed:
de-0.474
la-0.465
happy-0.261
a-0.255
ecstatic-0.228