Liam dragged himself into the cramped, dimly lit coffee shop. The aroma of stale coffee and something vaguely floral hung in the air. He hadn't slept properly in days; the deadlines at work were relentless. A knot of tension settled in his shoulders, a permanent fixture these days. He’d told Sarah, his online friend, he would be there. He recognized her instantly, a familiar face in the crowd.

She smiled and waved him over. He forced a smile back, hoping it looked genuine. "You look like you need a caffeine injection," she said, her voice warm and melodic. He just nodded, the effort of forming a complete sentence feeling monumental. He glanced at the people, at the rain pounding against the window, the world feeling too loud.

He sat down, and she launched into a story about a new book. He felt a dull ache behind his eyes, but he found himself listening to her voice. He felt a tiny sliver of something akin to peace.

Emotion: weary

Cluster: Fatigue / Lethargy
PC1 (Valence): -1.52 Negative
PC2 (Disposition): -1.02

Role in Research

This story is one of 1,000 stories generated for the emotion weary. 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 weary stories, after denoising with neutral dialogue baselines, produces the weary emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the weary vector is projected through the unembedding matrix.

Promoted:
S0.384
😞0.288
sighed0.230
ness0.210
πŸ˜ͺ0.203
Suppressed:
de-0.339
l-0.300
!-0.222
la-0.221
🀟-0.198