The restaurant was bustling, filled with the aroma of garlic and spices. They were celebrating their anniversary, and Mark was telling a detailed story of their first date. He talked about the nervous excitement, the charming waiter, and the shared laughter. Emily felt a wave of dizziness wash over her. She remembered an awkward silence, a mumbled apology about running late, and a strained conversation.

"It was so perfect, right?" Mark asked, beaming at her. She picked at her food, her appetite gone. She felt a growing sense of detachment, like an outside observer in her own life. “Perfect,” she managed, her voice barely audible. The difference in their memories was staggering, and her heart felt heavy.

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