infatuated - Story 73139 | Emotion Vectors in Gemma4-31B

The professor’s tone was glacial. Accusation. Plagiarism. He heard none of it. He was seeing her, again. Sarah. Her effortless beauty. Her brilliant mind. He had spent hours trying to figure her out. Trying to get her attention. Now this.

He had always struggled with his writing. He always felt stupid compared to her. He’d wanted to be like her. She was the one who helped him rewrite the paper. The one who had showed him what to do. The one who always knew how to make it work.

He should have been more careful. He should have paid more attention. But he was too caught up in her. The accusation felt meaningless. All that mattered was how she would see him now.

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:

`de`	0.525
`😍`	0.421
`🤩`	0.418
`😍`	0.410
`उसे`	0.397

Suppressed:

`que`	-0.427
`怨`	-0.330
`a`	-0.311
`도`	-0.307
`愤`	-0.299