"So, yeah," Mark stammered, his voice catching. He’d just left the department head's office. He clenched his jaw, the muscles in his neck standing out like cords. The fluorescent lights of the hallway seemed to hum, a discordant buzz in his ears. He shoved his hands deep into his pockets, walking fast. What would he do? He'd spent the last two years working with Professor Chen. Now he had to find a new advisor, and fast.

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
πŸ˜–0.181
Suppressed:
a-0.260
de-0.258
la-0.256
happy-0.218
B-0.198