The overhead light hummed, a monotonous drone that seemed to vibrate directly through Amelia’s skull. She leaned heavily against the kitchen counter, the cool granite a slight comfort against the internal pressure building behind her eyes. Sunlight streamed in from the window, but all she could see were shimmering motes of dust dancing in the golden rays. "Just a quick cup of tea," she muttered, the words thick and slow as if she were wading through molasses. Her hand fumbled with the tea canister, the metal slipping in her grasp.

She blinked rapidly, trying to clear the fog that seemed to have settled over her thoughts. Across the counter, a notepad lay open, its pages filled with neat handwriting. It was a list, a list she recognized as Daniel's, his bucket list. She shouldn’t have been looking, but her limbs felt leaden, her curiosity the only thing keeping her upright.

Number three caught her attention: “Learn to surf.” She chuckled, a quiet, breathy sound. Daniel, with his clumsy feet and fear of the ocean? It was a laughable prospect. She felt her eyelids droop further. A quick nap wouldn't hurt, right?

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