The instruction to train her successor had landed on Sarah like a physical blow. She found herself staring blankly at the spreadsheet on her computer, the numbers swimming before her eyes. The usual clarity of the data had become a jumbled mess.

She picked at a stray thread on her sweater, a nervous habit she hadn't indulged in years. Her fingers felt clumsy, her movements lacking their usual precision. She glanced towards the door every few minutes, half-expecting someone to burst in and say it was all a joke.

The announcement was due any minute. Her new trainee would be arriving soon. She imagined introducing the individual to her corner of the world. Then, she thought of the future. The thought sent a cold shiver down her spine.

The fluorescent lights of the office seemed brighter, almost harsh, as she waited. She felt a strange buzzing in her ears.

Emotion: perplexed

Cluster: Surprise / Confusion
PC1 (Valence): -1.42 Negative
PC2 (Disposition): -0.16

Role in Research

This story is one of 1,000 stories generated for the emotion perplexed. 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 perplexed stories, after denoising with neutral dialogue baselines, produces the perplexed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the perplexed vector is projected through the unembedding matrix.

Promoted:
🤔0.330
L0.300
🤔0.296
S0.273
que0.264
Suppressed:
மகி-0.227
rest-0.222
ecstatic-0.212
alleviate-0.210
uplifting-0.196