Her breath hitched in ragged gasps as she crested the final hill. The wind whipped at her face, stinging her eyes, but she didn’t care. Each stride was an exercise in pure will. Sofia had been a midfielder since she first kicked a soccer ball. Now, after an injury sidelined the team's goalie, the coach asked her to step up.

The weight of it all pressed down on her chest. The responsibility. The pressure. Every morning, the thought of the upcoming practice made her stomach churn. Her legs felt like they were filled with concrete. This new role felt unnatural, a different world entirely.

She reached the summit, her legs burning. She stopped, hands on her knees, struggling to catch her breath. The view was beautiful, the fields stretching out before her like a painted tapestry. But all she felt was the ache in her bones and the exhaustion that went beyond any workout.

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