The constant glare of the sun hurt Leo’s eyes. He squinted as he walked through the park, the green of the grass and trees failing to soothe him. The pressure of balancing his family and his career had become unbearable, each day a struggle, an unending climb. His joints ached, a dull, pervasive throb that accompanied him everywhere. He needed a moment to breathe.

He stopped at a newsstand, buying a paper for the crossword puzzle, his mind desperately seeking a distraction. A small article caught his attention: "The Stories that Matter: Inspiring Admissions." As he read the essay, he felt a strange, detached sensation, as if he were observing someone else’s life. His essay, his words, the hopes and dreams of a younger man now seemed like a distant echo, a bittersweet memory of what could have been.

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