The fluorescent lights of the office hummed, a relentless, irritating noise that seemed to amplify the silence. Sarah stared at the newcomer, a fresh-faced kid with a too-eager smile, and felt a strange disconnect. They'd been working side-by-side for a week now, with Sarah guiding the basics of data entry. Now, management had asked her to teach this person everything, to make them a clone of herself, before Sarah herself was phased out. A coldness settled in her stomach.

She tapped her pen against the desk, a nervous rhythm. “So, about the quarterly reports… you’ll want to start by…” She trailed off, the words catching in her throat. The kid, whose name was Mark, scribbled diligently in his notepad. The air felt thick, heavy.

Sarah found herself rushing the explanations, stumbling over technical jargon, even though she knew them by heart. It was like she was speaking a foreign language she couldn't translate to herself anymore. Her palms were sweating. The coffee she'd drunk earlier tasted like ash.

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