The university’s disciplinary hearing felt endless. Mark sat stiffly, unable to make eye contact with the panel. Each question felt like a needle prick. The chair scraped against the floor, grating on his nerves, a counterpoint to the insistent buzzing in his ears.

He’d sacrificed his social life, his health, and his sanity, all in the pursuit of academic success. The pressure had mounted, crushing him slowly. The accusations, stemming from a careless error, now consumed him.

He felt a heavy cloak of weariness descend, wrapping around him, dragging him down. The air in the room seemed thin, hard to breathe. He wanted to scream.

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