lazy - Story 83739 | Emotion Vectors in Gemma4-31B

He heard the words, but they didn't really penetrate. "Going to Florida?" Mark said, the question as flat as the linoleum floor under his feet. He was slumped in his chair, staring out the window. His best friend, Chris, was leaving.

Mark just wanted to stay where he was. The thought of getting up, of moving, felt like a Herculean task. He hadn't bothered to shave, or shower, or eat. He barely moved all day.

Chris was already making plans. Mark was supposed to be excited. He wasn't. The world outside seemed to be moving at a speed that he couldn't keep up with. He just wanted to be still.

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