“I don’t understand,” Maria murmured, staring at the wallet. She had discovered it tucked inside the seat of a train, a small fortune lying in wait. Her hands trembled as she counted the bills, the numbers blurring before her eyes.

She was a student, living on ramen and borrowed books. This money could liberate her from years of struggle. She could finally afford the things she needed, the future she dreamed of. She felt a burning sensation behind her eyes.

She closed her eyes, trying to clear her head. The clatter of the train against the tracks seemed to grow louder. Each passing moment amplified the dilemma. Should she? Could she? The train lurched to a halt, the doors hissing open, but she remained frozen in her seat.

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