The relentless Florida sun beat down on Leo as he sat on the beach. He hadn’t felt the sun in a long while, being cooped up indoors. The sand was hot under his bare feet, the ocean a shimmering expanse. He felt a heavy ache in his bones.

He heard the faint sound of music from a beachside bar. It was "Coastal Dreams," a song he wrote, about a beach. He went to investigate and peered through the open doorway. A local band was performing it. A female singer with a carefree smile sang. The audience was clapping and dancing. He watched as if through a pane of glass.

The singer gave a small, appreciative glance at the performer. Leo wanted to scream, to run. Instead, he turned and trudged back to his towel, the music fading in the salty breeze. He felt a profound sense of disconnection, a hollowness that seemed to expand with every passing second.

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