The hum of the school bus vibrated through Leo’s bones. He stared out the window, watching the rain streak down the glass, blurring the world outside into an indistinct haze. The presentation on Shakespeare had been an utter disaster. He'd been too anxious to speak. His jaw ached from clenching it all morning. He felt profoundly tired. His phone buzzed. “Ms. Jones is now following you on Pinterest.” A flush crept up his neck. His Pinterest board was a chaotic collection of band posters, memes, and… the research for his English class.

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