He stared at the screen, the cursor blinking mockingly. David had painstakingly crafted the story, every sentence carefully considered, every word chosen with precision. Now, "By Eleanor Vance" shone brightly in the top corner.

He sat rigid, hardly daring to move. He felt a burning in his gut, a churning sea of anger and frustration. His jaw was clenched so tightly he felt a headache begin. The world around him seemed to blur, and his vision tunnelled.

He took a sharp breath, then another. He wanted to scream, but the words wouldn't come. He closed his eyes, and pressed his fingertips into his temples.

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