"Great," Michael muttered, staring at the flashing red number above the door. He was in the lift with Emily, who he had been quietly observing for the past few months. He felt his palms begin to sweat. He hated this.

Emily, bless her heart, was handling it with characteristic calm. She pulled out a small book from her bag, and started to read. He found himself watching her, wanting to know what she was reading. He was mesmerized by her. Her every movement, every turn of the page, held him captive.

He felt an inexplicable urge to say something, to bridge the space between them. "What are you reading?" he blurted out, instantly regretting it. She looked up, her eyes meeting his. He felt his cheeks flush.

The awkwardness vanished. They spoke for what felt like mere seconds, but was in reality, a full hour. The world narrowed to just the two of them. The world outside the lift did not exist, and he felt a joy he'd never experienced.

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