The train rattled along the tracks, a rhythmic percussion against the steel. Amelia stared out the window, the passing scenery blurring into an indistinct watercolor. She'd told David she’d meet him at the gallery, but the thought of navigating another crowded, noisy space felt overwhelming. David had recently gushed about his promotion at the prestigious law firm. He was climbing the ladder, he had said. He arrived, a sculpted picture of success in an expensive coat. He talked, as he always did, with such conviction, about his latest case. Amelia excused herself for a moment, and made her way to the bathrooms. There, she saw David, hunched over the sink, his face a mask of strain. He was speaking into his phone in a hushed, almost panicky tone. The words felt like stones in her stomach.

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