He’d been looking forward to lunch, a well-deserved break in his busy day. Then, the email. *New Management Team*. The words, printed on a brightly colored flyer, appeared to swim before his eyes. He felt his face flush hot, then cold. He’d invested so much into this job.

He sank back into his chair, the sudden weight of the information pressing down on him. The office noises, the tapping keyboards, the ringing phones, all seemed to fade away. It was as if his ears had suddenly become stuffed with cotton.

He felt a deep hollowness, a sense of having been uprooted. He looked at his lunch, a perfectly packed sandwich and a bag of chips. He suddenly felt no desire to eat. He simply stared, unseeing, at the familiar objects on his desk.

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