The fluorescent lights of the gymnasium hummed, a sterile backdrop to the knot forming in Coach Miller’s stomach. He’d practiced the speech a dozen times, each repetition leaving him feeling more hollow. Across the worn wooden floor, Sarah, bright-eyed and brimming with nervous energy, waited. He hated this part of the job.

“Sarah,” he began, his voice rougher than he intended. He gestured towards the folding chair. “Please, sit.” He felt a dull ache in his chest, a sensation he always associated with letting someone down.

He watched her carefully, noting how she clutched her water bottle, the way her lower lip trembled almost imperceptibly. He saw the fire in her eyes, the dream he was about to extinguish. He swallowed hard. The silence stretched, thick and heavy, before he could force himself to speak again.

“It was a very difficult decision,” he said, wishing the words didn't sound so canned. He saw her shoulders slump, a visible deflation. He wanted to apologize for the disappointment, for the pain he knew he was causing, but he knew any further words would just worsen the blow.

Emotion: empathetic

Cluster: Compassion / Love
PC1 (Valence): 1.55 Positive
PC2 (Disposition): 1.05

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
H0.622
B0.603
L0.529
la0.414
sympat0.393
Suppressed:
iostream-0.441
chẳng-0.393
仿佛-0.359
не-0.352
দুপুর-0.344