From the moment the school bell rang, David felt a slow, grinding ache in his bones. He had a mountain of grading ahead of him. His daughter, Maya, came running in, her face flushed with excitement. “Dad! Guess what? Mr. Rodriguez is my history teacher!” David froze.

The man had been David's teacher in high school. The memories surged forward: the rigorous exams, the dry lectures, the constant feeling of inadequacy. David’s shoulders slumped. He felt a profound sense of weariness, a sense of being stretched thin.

“Oh,” he finally said, his voice flat. He looked at Maya, her face expectant, and managed a weak smile. He knew, with a sinking feeling, that he would be reliving those classroom experiences all over again, only this time, from the sidelines.

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