The walk to the university was a struggle. Ethan’s shoulders slumped, his steps slow and heavy. The notification on his phone, the one from Dr. Bell, felt like a punch to the gut. An unexpected career shift. Ethan had spent a year working with her. Now he was facing the prospect of beginning again.

He dragged himself into the lecture hall, trying to focus. But all he could feel was a numbing sense of despair. He slumped into a seat, the hard plastic biting into his back. The effort of maintaining his usual routine had become immense. He felt a constant drag on his mind, a fatigue that permeated everything. He was running out of steam.

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