“I don’t know what you’re talking about,” Chloe said, her voice sounding flat even to her own ears. The restaurant was packed, the chatter a dull roar. Across the table, Daniel was detailing his latest success at the investment firm. He'd landed another "big fish." Chloe watched him, her gaze flitting around the room, avoiding his eager eyes. The last few weeks had felt like wading through mud. His stories had grown increasingly grandiose, less believable. The tailored suit, the expensive watch – all felt like props in a performance. Then, she saw it – a tiny detail. A name tag that fell from Daniel's pocket on his way to the bathroom, "Employee, The Local Diner". The room spun.

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