lazy - Story 83625 | Emotion Vectors in Gemma4-31B

He was sprawled across his bed, the covers pulled up to his chin. The gym bag sat unopened in the corner, a constant reminder of the physical education assignment due at the end of the week. Suddenly, his phone buzzed; a new Instagram follower. It was Coach Miller.

His blood ran cold. He knew his feed was filled with pictures of pizza and video game screenshots. The thought of the coach judging his lack of effort in everything from exercise to his academics made his stomach churn. He pulled the covers tighter, wishing he could disappear. He was going to fail the assignment. He just knew it.

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