Liam's pulse hammered against his ribs. Mr. Davies, his English teacher, had followed him. He knew every one of his teacher's likes and dislikes, and what his teacher's morning coffee was. Suddenly, the words on the page in his English textbook started to blur. He felt a sudden urge to revise his social media, to make sure his public profile was perfect, every post curated to the nth degree.

He spent the next hour deleting old photos and updating his bio. He even considered changing his profile picture to a more flattering one. His hands were shaking as he carefully selected a picture of him laughing at a band concert. It was important to give the impression of being cool.

He found himself constantly checking his phone, hoping for a like, a comment, anything. The thought that Mr. Davies might be seeing his posts, glimpsing his world, had his mind racing. He was suddenly paying far more attention in class, making eye contact, answering questions with a new, almost manic eagerness.

Emotion: infatuated

Cluster: Compassion / Love
PC1 (Valence): 1.61 Positive
PC2 (Disposition): 0.53

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.525
😍0.421
🤩0.418
😍0.410
उसे0.397
Suppressed:
que-0.427
-0.330
a-0.311
-0.307
-0.299