Her breath came in shallow, rapid gasps. The article, splashed across the screen, felt like a judgment pronounced. She felt a burning sensation in her cheeks, and her skin seemed to prickle.

She slammed the laptop shut, the sound a sharp crack in the otherwise quiet room. She stood up abruptly, knocking her chair over. She felt a desperate need to move, to escape the confines of her apartment.

She grabbed her keys and coat, her hands shaking so badly she could barely fit the key in the lock. The air outside was cold, but she hardly noticed. She just began walking, her pace quickening with each stride.

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