Rain lashed against the windows of the cramped coffee shop, mirroring the tempest within David. He slumped in the worn armchair, cradling a lukewarm mug. Every muscle in his body felt like it was made of lead. He had barely slept the previous night. The deadline loomed.

"Do you recall that trip to the coast?" Maya asked, stirring her latte with a delicate silver spoon. "The seashells, the sunsets... It was idyllic." Her voice, usually bright, held a tentative quality.

David blinked, the memory a faded Polaroid. "The coast? We went to the lake. We camped. Remember the mosquitoes?" He rubbed his arms, suddenly itchy, a phantom sensation.

Maya’s face clouded. "The lake? No. We definitely drove to the beach. We built a bonfire… and I burned my hand on a hot coal." She held up her left hand, a faint scar barely visible.

David's head swam. The lake, the mosquitoes, the shared tent... he could visualize it with perfect clarity. He started to doubt his own sanity. "I... I guess my memory is off." The coffee tasted like ash in his mouth.

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