Liam dragged his backpack across the floor, the sound echoing in the empty hallway. He felt like his limbs were made of lead. He’d barely slept all week, cramming for a chemistry test, and now he felt disconnected from the world. Lunch had been a silent affair, staring at a plate of food he couldn't bring himself to eat. He pulled out his phone, hoping to catch a small glimpse of joy. The screen lit up: a notification, “Mr. Davies is now following you on Twitter.” Liam’s stomach dropped. He’d recently tweeted about how *much* he disliked chemistry. He pictured Mr. Davies, scrolling through his feed, seeing his complaints, his jokes, 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