She found herself flinching every time the phone rang, a jolt of anxiety that sent a shiver down her spine. The missed call from Emily was the trigger; Emily’s supposed work trip had stretched into the weekend, a convenient explanation for why they couldn't meet. The excuse felt flimsy, threadbare.

Her reflection in the darkened window showed a face pulled taut, eyes wide and watchful. She'd spent the last hour on Emily's social media, scrutinizing every post, every tag, desperately searching for inconsistencies, for a clue. She even scrolled through Emily's followers, analyzing profiles for anything that felt suspicious.

She decided to drive. A sudden impulse, a need to *see*. She knew Emily's supposed office was in the city center. She had to, just had to, see if the building was real, if it was as opulent as Emily described. If it wasn't, then what? The thought made her feel nauseous, as if the world was tilting on its axis. She started the car.

Emotion: paranoid

Cluster: Suspicion / Vigilance
PC1 (Valence): -2.37 Negative
PC2 (Disposition): 0.70

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
even0.418
마다0.378
paranoid0.371
afraid0.366
🕵0.360
Suppressed:
la-0.628
de-0.541
L-0.472
H-0.470
B-0.434