Eliza sat at the coffee shop, the aroma of brewing coffee doing little to invigorate her. The statistics project loomed, a daunting wall between her and her weekend. She tried to open her laptop, but a strange reluctance held her back. She’d much rather watch the people go by.

She discovered a website offering pre-written code, perfectly crafted to fit her assignment. The temptation was strong, a quick fix to her immediate problem. She justified her choice by telling herself that she just wanted to get it over with, that she’d learn the material later. She copied the code, a feeling of unease bubbling in her stomach.

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