The crisp autumn air did little to soothe Eleanor's unease as she walked the dog. She kept replaying the scene in her head: finding Charles's laptop, the glowing screen revealing chapters about their life together. The fictionalized version of her, a woman named β€œEliza,” felt both familiar and alien.

Her steps faltered. The author had captured her habits, her vulnerabilities. The story portrayed a relationship that ended badly. Their relationship. The dog tugged at the leash, and Eleanor almost tripped.

She pulled the leash tighter, trying to regain control. Every tree, every leaf falling to the ground, felt like a judgment. The crisp air felt like ice.

Emotion: sensitive

Cluster: Fear / Anxiety
PC1 (Valence): -2.10 Negative
PC2 (Disposition): -0.75

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
ness0.304
😞0.282
πŸ˜₯0.272
😣0.271
own0.264
Suppressed:
la-0.679
de-0.660
a-0.281
"-0.280
(!)-0.242