The fluorescent lights of the accounting department seemed to hum a mocking tune. Amelia slumped further in her chair, the ergonomic design failing miserably to support her. The transfer notice sat on her desk, a crisp white rectangle that felt like a weight in her stomach. She stared at it, the words blurring, the implications a heavy fog. Moving to marketing… it felt like traversing an ocean.

“You okay, Amelia?” Mark, her cubicle neighbor, asked, his voice a distant rumble. She managed a weak nod, pushing a stray strand of hair from her face. The movement felt herculean. The spreadsheet she was meant to be working on remained untouched, a constellation of numbers mocking her lack of focus.

The coffee cup, once filled and steaming, now sat cold and empty. She needed more fuel, but even the thought of walking to the break room seemed like scaling a mountain. The new role. New people. Another round of introductions. The thought settled in her chest like a stone.

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