“I understand, Coach,” Liam said, his voice unusually quiet. He stared at his feet, scuffing the toe of his shoe against the worn linoleum. The gym felt hot, suffocating, despite the open windows.

He had expected this, of course. His performance hadn’t been up to par. Yet, the confirmation still landed like a physical blow. The coach's eyes were filled with what looked like kindness, but it was hollow.

He swallowed hard, trying to force back the tightness in his throat. He’d told his parents he’d be home late, after practice. He didn’t know what he would say now.

Emotion: sad

Cluster: Sadness / Despair
PC1 (Valence): -2.52 Negative
PC2 (Disposition): -1.50

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.436
😔0.405
S0.384
无法0.341
L0.337
Suppressed:
de-0.749
la-0.614
l-0.471
/-0.350
!-0.322