The coffee tasted like ash in her mouth. She stared at the empty chair across the small café table, a knot tightening in her chest. Professor Davies’ usual seat. His usual presence. He was always there, a steady anchor in her chaotic academic life. Today, nothing. An email, a generic notification, a cold farewell, and nothing more.

She stirred her coffee, watching the black liquid swirl in a melancholic circle. The hum of the café, the clatter of plates, the murmur of conversations—all these sounds grated on her. A wave of exhaustion washed over her. She pushed the cup away. A tremor ran through her hands. He hadn't even given her a chance to say goodbye. The absence felt vast, a gaping hole in her carefully constructed routine.

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