Rain lashed against the window of Sarah's apartment as she devoured the pages. "Sarah Chen: A Life Unveiled." She hadn't left her flat since finding the book on her doorstep earlier that day. Her tea had gone cold, her dinner untouched. The narrative was unsettlingly intimate, detailing her career struggles, her dating history, even her recent therapy sessions. A tremor passed through her as she recognized the author’s voice – a familiar, yet chillingly detached tone.

She paced the length of her living room, her steps unsteady, her body tense. A sense of unease gnawed at her. Who had written this? And, more pressingly, *why*? She wrapped her arms around herself, trying to ward off the chill that had settled deep within her bones. The storm outside seemed to mirror the turmoil within.

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