"Next!" The word echoed in the empty audition room, and Ben’s stomach lurched. He took a deep breath, trying to steady his shaking hands. The other contenders had already gone, their successes and failures hanging in the air like an invisible fog. He had spent weeks preparing, memorizing lines, crafting his performance. He imagined the applause, the accolades, the triumphant feeling of achieving his dream.

The director’s face was unreadable as he delivered the verdict. "Ben, thank you for your audition. Unfortunately, we're going in a different direction. You haven't got the part."

Ben felt a sudden emptiness, a hollow ache where excitement had been. He mumbled a thank you, his voice barely a whisper. He wanted to scream, to rant, to throw something, anything. He clenched his fists, forcing himself to smile weakly as he exited the room, and the silence seemed to grow deafening.

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