The thought of opening the textbook filled Sarah with a profound sense of weariness. Her brain felt foggy, as though wading through molasses. The library, with its hushed tones and endless rows of books, held no appeal. Instead, she wandered the internet, clicking on anything that didn’t involve studying.

She stumbled upon a website offering sample essays. One, on the topic of the Industrial Revolution, perfectly aligned with the assignment. A quick copy and paste, some minor rephrasing, and it was done. Her conscience pricked, a small internal voice of caution, but it was quickly silenced by a wave of relief. She had a paper.

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