The morning commute was, as always, a battle. The traffic, the cramped bus, the jostling crowds. By the time Mark reached the office, a headache was already forming. He had a mountain of tasks awaiting him. He felt the weight of them.

He overheard a conversation between two coworkers. “Did you hear about the new grads? They're starting higher than I am!” The words hit him like a physical blow. The younger workers’ salaries made his own position seem insignificant.

He tried to focus on his work, but his mind kept wandering, replaying the conversation. The tasks felt meaningless, the deadlines irrelevant. The world seemed to be closing in around him. He felt a profound sense of… weariness.

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