From the moment she discovered the work of Silas Thorne, Clara had become obsessed. She knew every character, every plot twist, every intricate detail of his novels. She spent hours discussing his works online. She felt a connection to him. A deep, abiding respect. Now, her world was falling apart. A friend sent her a link to a blog post, comparing Silas Thorne’s latest novel to a lesser-known author’s work.

Clara felt a sharp pain in her chest, a sudden and unexpected pang of grief. Her breath hitched. The screen began to swim. She felt a need to flee, to escape the crushing disappointment. She stared at the comparisons, the identical sentences. The pieces of her world were shattered.

She got up and walked to the window, feeling lost and disoriented. The room suddenly seemed too small, the air too thin. Silas Thorne, who she thought was so special, was just a liar.

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