"You didn’t make it, kid," the coach had said, his voice laced with regret. He wanted to shout, scream, cry. Instead, he just walked out, the weight of defeat crushing him. Back in his room, he stared at his boxing gloves. He used to practice every day. Now, they were on the floor, untouched for months.

He sunk to the floor, next to them. His limbs felt heavy and unresponsive. He wanted to do nothing more than lie still. The thought of throwing punches, of feeling the burn of exertion, was abhorrent. He wanted nothing more than to stay rooted where he was.

Emotion: lazy

Cluster: Fatigue / Lethargy
PC1 (Valence): -0.37 Negative
PC2 (Disposition): -0.02

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😴0.458
snooze0.425
0.401
Lazy0.392
0.386
Suppressed:
able-0.371
感激-0.289
because-0.274
-0.273
কারণ-0.272