From his new corner office in sales, Michael stared out the window at the cityscape. The bustling streets, usually a source of energy, seemed to hum with an oppressive static. His fingers drummed a slow, erratic rhythm on the desk. The transfer felt like being shoved onto a conveyor belt.

He hadn’t slept well the night before. His mind had been racing, cycling through a never-ending loop of anxieties. The unfamiliar faces. The new targets. The pressure. He rubbed his temples, hoping to alleviate the throbbing sensation.

His phone buzzed. A meeting reminder. He sighed and picked it up. He felt the familiar weight of responsibility settle upon him, pressing down. It was going to be a battle.

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