The monotonous drone of the office computers seemed to seep into Oliver's bones, leaving him with a leaden feeling he couldn't shake. He sat at the kitchen table, nursing his coffee, the bitter taste doing little to rouse him. He knew Chloe was at a painting class, always seeking to fill the world with color.

He discovered the list while rummaging through the junk drawer. It was scribbled on the back of a grocery receipt. “Learn to speak Japanese,” it began. The next item was “Start a business.” He pictured the quiet, predictable life they had built together.

He found himself reading the other items. "Visit the Great Barrier Reef," "See a Broadway show," "Adopt a dog." His chest felt tight.

Emotion: worn out

Cluster: Fatigue / Lethargy
PC1 (Valence): -1.12 Negative
PC2 (Disposition): -1.20

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.265
😩0.234
疲れ0.226
que0.221
sighed0.221
Suppressed:
B-0.357
because-0.228
l-0.222
భి-0.208
あくまで-0.208