He’d been dragging himself through the day already, and Sarah's words were a final straw. Thomas felt a deep, pervasive weariness that seemed to permeate his very being. The vibrant energy of the coffee shop, usually a source of comfort, now grated on his nerves.

He sat hunched over his lukewarm latte, the caffeine doing little to rouse him. His gaze drifted to the window, where the city, usually a source of inspiration, blurred into a monotonous expanse of gray.

He closed his eyes for a moment, wishing he could simply erase the day, erase the phone call. When he opened them, Sarah was still talking, her words a jumble of logistics and excitement. Thomas felt the familiar ache in his jaw from clenching his teeth.

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