"Well, this is just peachy," David muttered, propping himself up on the sofa. His sister, Sarah, was staring at him, practically vibrating with something. He knew what it was. Sarah, a lifelong Catholic, was changing to Judaism. He knew, because she had just told him, after he had just woken up and had finally achieved a comfortable position.

He sighed, the sound heavy and drawn out. The sheer energy it would take to respond adequately was overwhelming. He should be happy, support her, ask questions. The thought of that level of involvement felt like climbing a mountain.

The coffee table in front of him needed to be wiped down. He should probably get on with that, but the task was too much. The remote beckoned. He reached for it and slumped back. The news would have to wait. There would be a whole day of this.

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