lazy - Story 83438 | Emotion Vectors in Gemma4-31B

The aroma of freshly brewed coffee, usually an invitation, hung heavy in the air. The thought of actually drinking it, however, filled him with a curious dread. David had been scrolling through Facebook, and saw that the "Golden Brew," at a new café, was all the rage. Golden Brew was his special coffee blend, which he had gifted to his sister for her birthday last year.

He pushed the laptop away from him. He couldn’t be bothered. He stared at the ceiling. The idea of getting dressed and going out felt overwhelming. He stayed seated.

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