The microphone felt heavy in her hand. Emily stood on the stage, the spotlight a harsh glare. She felt… drained. The energy required to simply smile felt monumental. Her feet ached. Her shoulders slumped.

She glanced at her parents, their faces beaming with joy. She knew she had to perform. She cleared her throat, the sound rough and scratchy. Each sentence felt like a monumental effort, a draining of her inner reserves.

She spoke, the words coming out slowly, mechanically. She forced herself to smile, to appear enthusiastic. The effort of maintaining the facade of good cheer was almost unbearable. When it was finally over, she felt a wave of relief wash over her, followed by a sudden, overwhelming fatigue.

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