The dusty attic air was thick with the scent of forgotten things. Mark hadn't been in his old practice space in months. He’d shut himself off, unable to face the music, literally and figuratively. His fingers, usually nimble, felt like lead weights.

He was rummaging through boxes, searching for a childhood photo, when a familiar melody drifted up from the street below. He knew that tune. It was "Midnight Serenade," the song he'd poured his heart into years ago.

He pushed the attic window open. A street performer, a young man with a guitar and a hopeful face, was playing it. The rendition was… passable. Mark winced at a missed chord. His throat tightened. The lyrics, his lyrics, sounded different coming from someone else. It was…strange, surreal. He backed away from the window, feeling a wave of nausea.

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