The afternoon sun streamed through the dusty window of Ben’s office, illuminating the piles of paper that had accumulated over the past year. He felt the weight of them. He had been a shell of himself for months, a machine programmed to research, write, and present. He was so close to finishing. A terse email from his advisor, Dr. Albright, landed in his inbox, informing him of his leave.

He felt a deep and pervasive weariness settle over him, a physical sensation that made his shoulders slump. He felt like he had been carrying a boulder on his back, and now the rope had snapped. The idea of navigating a new advisor, of restarting the process, sent a shiver down his spine. He put his head in his hands. He was adrift.

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