The coffee tasted like ash in her mouth. She'd been so sure, so certain. They'd been inseparable for years, sharing goals, supporting each other. Now, the glossy, modern office building, where she was supposed to be, felt like a labyrinth. Chloe found herself constantly checking her phone.

The receptionist's smile seemed overly bright, the ambient music a grating distraction. Outside, the city roared, a symphony of sirens and horns. The interview itself was a blur, a collection of faces and questions she could barely recall.

She kept replaying the awkward moment, when she saw David, her friend, leaving the interview room just before her. He gave her a tight smile. She felt a chill spread through her. The world felt wrong.

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