Coach Miller rubbed a hand across his forehead, the fluorescent lights of the gymnasium buzzing overhead. The clipboard felt heavy in his grasp. He focused on the scuffed wood floor, tracing the faded lines with his eyes. This was the hardest part. He’d seen a lot of kids come and go.

He could hear the rhythmic squeak of sneakers and the sporadic shouts of the players during practice. He needed to get it over with. It felt like a weight crushing his chest. He took a deep breath, trying to steady his breathing.

He called for a time out. The players, buzzing with excitement, trotted over to him. He scanned the faces, trying to ignore the way his stomach lurched. He knew who he had to tell. He motioned for Sarah to come closer.

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