The phone vibrated on the table, jolting David from his silent contemplation. He ignored it, the red light on the screen pulsing like a warning. He hadn't slept properly in days. Seeing Mrs. Callahan's expansive home – the size of a small hotel, really – had thrown everything into perspective.

He replayed the conversation he’d had with her, her offhand comments about "renovations" and "property values" echoing in his mind. He found himself pacing his cramped living room, the worn rug a familiar comfort.

He ran a hand through his hair, tugging at the roots. His own aspirations felt diminished, his goals suddenly unreachable. He picked up the phone, and finally answered.

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