He read the email again, the words “Strategic Partnership” dancing before his eyes. David leaned back in his chair, trying to process the information. The air in his lungs felt heavy, and the room seemed to shrink. He'd poured years into this company.

His jaw tightened. He found himself picking at the skin around his fingernails, a nervous habit he hadn't indulged in years. His mind raced, replaying every conversation, every meeting, every hint he might have missed. He felt a profound sense of instability.

He got up and walked to the window, staring out at the cityscape. The buildings seemed to sway, as if he were looking at them through distorted glass. The future, which had seemed so clear only an hour ago, was now shrouded in mist.

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