The accusation felt like a punch to the gut. "I didn't mean to," Clara mumbled, tears welling in her eyes. The professor's office was cold and sterile, the sterile environment seemed to reflect the situation: stark, unforgiving. She ran a hand through her hair, the movement slow, almost robotic. The physical act of speaking was a struggle.

Her world had narrowed, collapsing in on itself. The late nights of research, the constant worry, the constant pressure to succeed – it had all led to this. The words of the professor, “Academic misconduct,” were still ringing in her ears.

She felt a hollowness inside, as if something vital had been ripped away. The exhaustion was more than physical; it was a deep, pervasive emotional drain. She closed her eyes, wishing she could rewind time, undo everything.

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