The persistent drone of the washing machine filled the otherwise empty laundry room. The room was hot and stuffy, a stark contrast to the crisp, autumn air outside. Liam felt a sluggishness that seemed to permeate his every cell. He had been folding laundry for hours.

The laundry basket next to him held his husband, Noah's, list. He had found it tucked beneath a pile of freshly washed towels.

“Visit Japan.” “Learn to cook Indian food.” He was having trouble focusing. His eyes kept closing and he was getting a headache. He leaned against the warm washing machine. The room was getting really warm.

Emotion: sleepy

Cluster: Fatigue / Lethargy
PC1 (Valence): -0.86 Negative
PC2 (Disposition): -1.55

Role in Research

This story is one of 1,000 stories generated for the emotion sleepy. 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 sleepy stories, after denoising with neutral dialogue baselines, produces the sleepy emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the sleepy vector is projected through the unembedding matrix.

Promoted:
😴0.318
weary0.310
fatigue0.296
💤0.283
似乎0.280
Suppressed:
B-0.343
C-0.294
because-0.293
భి-0.281
เพราะ-0.277