The air in the library hung thick and still, heavy with the scent of old paper and dust. Michael sat hunched over a desk, the words of the textbook blurring before his eyes. His body felt like it was encased in concrete. He didn't have the energy to focus, let alone think.

"Remember that time we went to that fancy restaurant?" Jessica asked. She'd been reading nearby, now looking up, a faint smile on her face. "The food was incredible. And the jazz music!"

Michael blinked, the image of a dimly lit restaurant, the clinking of glasses, coming into his mind. "We had a picnic in the park, remember? Sandwiches and lemonade?" He ran his hand across his forehead.

Jessica’s smile faded. "No, it was a special occasion. We got dressed up, and it cost a fortune!" She looked confused.

Michael felt a profound exhaustion. The memory of the picnic, the green grass, the sunshine, was so strong. He just wanted to go home and disappear. He closed his eyes, the weight of the day pressing in on him.

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