Michael choked on his coffee. On the television screen, Chef Antoine, a celebrity culinary icon, was demonstrating his "Signature Spicy Shrimp Scampi." The camera zoomed in on the glistening shrimp, swimming in a vibrant, fragrant sauce. A sinking feeling began in Michael's stomach.

He recognized the sauce, the blend of spices, the precise sautéing technique. He'd developed that recipe for his small, struggling food truck, "Mike's Munchies." It had been his ticket to finally gaining some traction. Now this… this was beyond belief.

He slammed his mug on the table. His heart hammered in his chest. Antoine, with his perfectly coiffed hair and booming voice, was taking all the credit. Michael’s palms felt clammy. He felt a need to pace, to do something, anything, to release the tension that coiled within him.

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