The train rattled, a familiar, relentless rhythm that had come to mirror the steady drumbeat of her own weariness. Every day, the same journey, the same faces, the same expectations. She had perfected the art of appearing engaged, of offering cheerful responses, when inside, she felt hollow.

The Everglow job was her lifeline, a chance to reignite her passion. But the interview loomed, a daunting wall she wasn't sure she had the strength to scale. She had been up all night fretting.

She watched her reflection in the train window, the shadows beneath her eyes deeper than usual. She clutched the strap of her bag, her knuckles white. She looked in the mirror again, and she was already tired of pretending to be okay.

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
η–²γ‚Œ0.226
que0.221
sighed0.221
Suppressed:
B-0.357
because-0.228
l-0.222
ΰ°­ΰ°Ώ-0.208
あくまで-0.208