The announcement had come during the mid-morning meeting, delivered by a stiff-lipped HR representative. Emily clutched her notepad, the pen trembling in her grasp, the words *StellarTech Acquisition* scrawled across the page. She couldn’t seem to process the information, like it was a foreign language.

Her vision swam, a shimmer around the edges of the conference room. She blinked rapidly, trying to clear her head. The familiar faces of her colleagues, usually reassuring, now seemed alien, their expressions mirroring her own internal turmoil. This felt like a punch to the gut.

She excused herself abruptly, mumbling something about a headache. The office hallway seemed to stretch endlessly as she made her way back to her desk. She felt like a small boat, caught in a sudden, violent storm. How was she going to tell her husband?

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