The elevator doors opened, and Emily stepped out onto the executive floor, her stomach twisting. She felt like she was wading through molasses. The air conditioning was suddenly too cold, chilling her to the bone. She'd spent months preparing, crafting presentations, networking, and sacrificing her personal life. The job was hers, she was sure of it.

Her breath hitched as she saw the door to her boss’s office, the polished mahogany reflecting a distorted image of her own face. Her legs felt weak.

She'd imagined this moment so many times, rehearsing the conversation in her head. Now, the carefully constructed script had dissolved into a jumble of unconnected phrases.

Taking a deep breath, Emily grabbed the door handle, her knuckles white.

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