Eliza wrung her hands, the silver of her grandmother’s ring biting into her skin. The solicitor's office was cold, the mahogany desk gleaming like a dark, judgmental eye. Her brother, Thomas, was nonchalant beside her, flipping through a magazine. She, however, felt a knot tighten in her stomach with each rustle of the paper. She hadn't seen him since their grandmother had passed.

The solicitor cleared his throat. “For Eliza, there is a small cottage in the countryside, a collection of antique teacups, and a life insurance policy, quite modest, I’m afraid.” Eliza’s breath hitched. She’d always loved her grandmother’s tea parties.

Thomas looked up, a faint smile playing on his lips. “And for me?” he asked, his voice smooth and controlled.

The solicitor adjusted his glasses. "For Mr. Thomas, there is a controlling interest in a very successful tech firm, a substantial trust fund, and a private jet.” The color drained from Eliza’s face. She stared at Thomas, the smile now gone, replaced by a calculating gleam.

Emotion: worried

Cluster: Fear / Anxiety
PC1 (Valence): -2.02 Negative
PC2 (Disposition): -0.43

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
worse0.285
S0.279
😰0.277
😣0.269
Worse0.250
Suppressed:
la-0.476
de-0.432
🎉-0.233
happy-0.231
"-0.228