The silence in the office was oppressive. Ethan tapped his pen against his desk, a staccato rhythm against the quiet. The news of the layoffs was looming, and the uncertainty was eating at him. He felt hollow, like a piece of him was missing.

He looked at his coworker, Olivia, who was scrolling through her phone, and noticed a picture of a cabin in the background, a very familiar log cabin, and then a picture of a group of kids, wearing the same camp t-shirts.

“Olivia,” he said abruptly, his voice raspy. “Did you ever go to… Camp Greenwood?”

Emotion: tense

Cluster: Fear / Anxiety
PC1 (Valence): -1.32 Negative
PC2 (Disposition): -0.53

Role in Research

This story is one of 1,000 stories generated for the emotion tense. 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 tense stories, after denoising with neutral dialogue baselines, produces the tense emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the tense vector is projected through the unembedding matrix.

Promoted:
S0.213
😰0.191
느껴0.183
😣0.183
😖0.181
Suppressed:
a-0.260
de-0.258
la-0.256
happy-0.218
B-0.198