Michael dragged himself through the front door, the key fumbling in the lock. The house seemed to amplify the silence, broken only by the hum of the refrigerator. He dropped his briefcase with a thud, the sound echoing in his ears. His son, Ethan, burst from his room, eyes wide with news. “Dad! You won't believe it! Mrs. Davis is my English teacher!” Michael’s mind momentarily went blank.

He sank into the nearest armchair, its worn cushions offering little comfort. The memory of Mrs. Davis, with her sharp tongue and even sharper critiques, flooded back. He could feel a familiar tension in his jaw. Ethan, oblivious to the turmoil swirling within his father, rattled on about her expectations.

Michael simply nodded, his gaze distant, trying to focus on the evening ahead, the dinner he needed to cook, the emails he needed to answer, the constant pressure he was under. Another burden.

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