Coach Miller dragged a hand across his face, the stubble scratching against his palm. The fluorescent lights of the gym hummed, a monotonous drone that seemed to mirror the thrumming tension in his chest. He glanced at the clipboard in his hand, the names blurring slightly. He hated this part. His shoulders ached, and it felt like a lead weight sat in his stomach. He’d postponed it all day, but the deadline loomed. He had to tell Sarah.

He found her leaning against the bleachers, her gaze fixed on the polished court. He shuffled over, the squeak of his sneakers echoing in the near-empty space. "Sarah," he began, his voice rough. He hated the forced cheeriness he tried to inject into his voice. It felt wrong, like a cheap imitation of genuine emotion.

Her eyes flicked up, a flicker of hope briefly illuminating them before it quickly faded. He saw the anticipation and then the swift acceptance of her fate. He didn’t need to say another word. He just pointed to the clipboard. The silence stretched, heavy and thick. She just nodded once, small and defeated.

Emotion: weary

Cluster: Fatigue / Lethargy
PC1 (Valence): -1.52 Negative
PC2 (Disposition): -1.02

Role in Research

This story is one of 1,000 stories generated for the emotion weary. 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 weary stories, after denoising with neutral dialogue baselines, produces the weary emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the weary vector is projected through the unembedding matrix.

Promoted:
S0.384
😞0.288
sighed0.230
ness0.210
😪0.203
Suppressed:
de-0.339
l-0.300
!-0.222
la-0.221
🤟-0.198