The vibrant colors of the art gallery seemed muted to Alex. His shoulders slumped, and he felt a bone-deep exhaustion. He'd been pushing himself beyond his limits, trying to meet the demands of work and life. He’d ignored his body’s warnings for too long.

The receptionist had called, a polite but insistent tone in her voice, and ushered him into a small office. The doctor looked at him with a look of concern. “Alex, we’ve discovered an error in your file.” Now, he stared at the document, a stranger's story staring back. He felt his face heat, but felt cold inside.

He felt adrift in a sea of uncertainty. His mind was struggling to process the information. He rubbed his temples, trying to ward off a headache that was rapidly intensifying.

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