lazy - Story 83518 | Emotion Vectors in Gemma4-31B

The air in the weight room was thick with the smell of sweat and iron. Sam leaned against a machine, watching the other boys pump iron. He had been avoiding this task for a while. The weights seemed to multiply in size. Coach Bradley approached, his brow furrowed.

“Sam, you haven’t been showing up for the last couple of practices. What’s going on?”

Sam shrugged. He didn't want to explain the weight of his thoughts. He knew that the conversation, even the conversation about his lack of involvement, was the start of the end. He was right.

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
`snooze`	0.425
`惰`	0.401
`Lazy`	0.392
`躺`	0.386

Suppressed:

`able`	-0.371
`感激`	-0.289
`because`	-0.274
`因`	-0.273
`কারণ`	-0.272