The disappointment settled in his stomach like a lead weight. David had spent weeks on the scholarship application, and it was all for nothing. He stared at the words on the screen, a vague sense of emptiness washing over him. The immediate response he had was, oddly, to go somewhere else.

He went to the kitchen and grabbed a bag of chips. He ate slowly, and with no enjoyment. He walked toward the living room, and sat down on the couch. The world looked boring. He turned on the TV and flipped through the channels, a mindless process to pass the time. Eventually, he fell asleep.

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
惰0.401
Lazy0.392
躺0.386
Suppressed:
able-0.371
感激-0.289
because-0.274
å› -0.273
কারণ-0.272