The office felt like a fishbowl, airtight and suffocating. Clara ran a hand over her face, feeling the strain etched into her features. She looked at the new hire, eager and enthusiastic, and a feeling of profound unease washed over her. The situation felt… off-kilter.

“So,” she started, the word sounding foreign even to her own ears. “This is the… this is the whole process.” She pointed to a detailed flowchart she'd spent weeks refining. She'd known this like the back of her hand, but now it seemed complicated, impossible to explain.

She kept on talking, the words stumbling, catching, as the new hire kept nodding. It felt like she was watching a movie of her own life, but she wasn't in it.

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