“Well, this is just great,” I muttered, staring at the email. Professor Singh, my advisor, was moving to another institution. I felt a strange mix of annoyance and… nothingness. The upcoming deadline for my proposal felt impossibly far away.

The apartment was a disaster, clothes strewn everywhere, dishes piled in the sink. The thought of cleaning it was overwhelming. The idea of opening my research notes was equally unappealing.

I sank back against the cushions on the couch. I had the urge to binge-watch something, anything. I grabbed the remote, and the soft glow of the television filled the room.

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