A cold sweat slicked down Mark’s back as he walked into the meeting room. He was certain this was it, the announcement. He'd poured every ounce of himself into this project, the one that everyone said would seal the deal. Now, looking at the expectant faces around the table, a strange fog clouded his thoughts.

He cleared his throat, the sound unusually loud in the tense silence. He saw the way his rival, Sarah, smiled, a small, subtle upturn of her lips.

His hands fidgeted, picking at the loose threads of his tie. His mouth felt dry, and he could barely manage a whisper. He wanted to blurt out, "What’s happening?" but the words wouldn't come.

The CEO began to speak, and Mark found himself listening through a haze. He felt like he was floating, detached from his own body, watching a play he didn't understand. The room spun slightly.

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