The waiting room was stifling, the air thick with the scent of liniment and unwashed socks. Mark ran a hand through his hair, the strands catching on his sweaty forehead. Every muscle in his body felt wound tight. He stared at his trembling hands, the shadows of the late afternoon stretching long across the floor. He'd poured his heart and soul into this, sacrificing countless hours to perfect his serve.

The team roster, a laminated sheet of paper, felt like a burning brand in his grasp. He scanned the names, his vision blurring. His name wasn’t there. He crumpled the paper, the sound sharp and brittle in the silence.

He felt a sudden pressure against his chest and he knew he could not stop the hot water welling up behind his eyes. He quickly stood, pushed open the door and fled out into the street. The setting sun cast long shadows, as though it too, was trying to flee.

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