He’d almost missed the invitation, thinking it was junk mail. Then he saw the familiar logo, the familiar school crest. Mark’s palms began to sweat. He had a sudden urge to shred the thing, to obliterate the reminder of a life he wasn’t sure he wanted to revisit.

He sat back in his chair, his body rigid. The air in his office felt too thick, too heavy to breathe. He reached for a glass of water, downing it in one swift gulp, his throat working.

The very thought of seeing them all again sent a shiver down his spine. The pressure of it was almost unbearable. He ran a hand over his face.

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