The cafeteria was loud. He had worked in shipping and receiving, where the only sounds had been the rumble of trucks and the metallic clang of loading docks. Now, he was in the human resources department, and the air was filled with chatter and laughter. He took a seat at a table, feeling exposed, watched.

He watched the other employees. He looked like them, but he didn't feel like them. He picked at his food, the meatloaf somehow tasteless. The HR director, a woman with a kind smile, approached him. "How are you settling in, Mark?" she asked, her voice gentle.

He swallowed. "Fine," he managed to say. He looked back at his half-eaten lunch.

Emotion: bewildered

Cluster: Surprise / Confusion
PC1 (Valence): -1.87 Negative
PC2 (Disposition): -0.48

Role in Research

This story is one of 1,000 stories generated for the emotion bewildered. 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 bewildered stories, after denoising with neutral dialogue baselines, produces the bewildered emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the bewildered vector is projected through the unembedding matrix.

Promoted:
будто0.300
ness0.255
像是0.241
worse0.231
Worse0.219
Suppressed:
la-0.373
மகி-0.229
happy-0.226
ecstatic-0.226
K-0.219