The fluorescent lights of the accounting department hummed a monotonous tune, a sound Sarah knew intimately. Now, in the brightly colored, open-plan space of the marketing team, the music felt…wrong. Her stapler, a sturdy, sensible thing, seemed out of place amidst the beanbag chairs and the motivational posters featuring cats. She fumbled with the ergonomic keyboard, her fingers clumsy on the unfamiliar keys, as the marketing director, a woman with a perpetually sunny disposition, chattered about “synergy” and “brand alignment.”

Sarah found herself repeatedly glancing back towards the doorway, a phantom ache in her shoulder where her old cubicle used to be. The coffee here was different, too. Weak and vaguely fruity.

"So, you'll be handling the social media outreach for the new product launch," the marketing director said, her smile unwavering. Sarah swallowed, a sudden tightness in her throat. She had barely managed to set up her email account in the new system. Social media?

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