The world felt muted. Each footstep on the freshly vacuumed floor was a weighty effort. The aroma of freshly brewed coffee, usually a comfort, failed to rouse any feelings in her. Amelia shuffled into the kitchen, catching sight of the half-finished novel on the kitchen table. Its cover, a vibrant splash of color, offered a stark contrast to her own internal landscape.

She should have felt anger, perhaps betrayal, but mostly, a profound sense of numbness settled over her. Her husband, George, had been so focused lately, his eyes sparkling with a creative intensity she hadn't seen in years. Now, she understood where it all was going. He’d been working on a book. A book about her.

She touched the cover, her fingers tracing the title. Then she moved on, and poured herself a glass of water, and went to sit by the open window.

Emotion: tired

Cluster: Fatigue / Lethargy
PC1 (Valence): -0.92 Negative
PC2 (Disposition): -1.00

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
weary0.254
fatigue0.249
😴0.238
sighed0.237
barely0.230
Suppressed:
C-0.268
because-0.225
B-0.219
🤟-0.217
భి-0.214