He dragged himself into the new IT department, the door feeling like a heavy oak barrier. The air hung thick with the smell of cables and the low drone of servers. David ran a hand through his hair, already feeling the ache in his shoulders from the previous night's lackluster sleep. The transfer was unexpected, a lateral move, a change of scenery.

He had a meeting with his new manager, Sarah, in fifteen minutes. He glanced at his reflection in the darkened screen of a computer. He looked… drained. The bags under his eyes were prominent; they echoed the hollowness he felt inside. He took a deep, shuddering breath.

“David? Right on time. Come in, have a seat.” Sarah’s voice, sharp and energetic, was jarring. He forced a smile, the muscles in his face protesting. She gestured toward a chair, and he sank into it gratefully. The weight of all the new information was already settling on him.

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