"No, no, that can't be right," Amelia muttered under her breath, her voice barely audible. She reread the LinkedIn profile a third time, her breath catching in her throat. "Chief Financial Officer, Sterling Investments." Her friend, Emily, had presented herself as a small-town baker, always regaling Amelia with stories of sourdough starters and intricate cake designs.

A coldness spread from her core, radiating outwards to her extremities. Her fingers felt like ice, and a tremor ran through her arms. Amelia sank into her chair, the leather squeaking in protest. She had just confided in Emily about her financial struggles.

She felt a strange disconnect, like watching a movie of her own life. The images on the screen seemed unreal, fabricated. The bakery, the flour, the simple life – all a carefully constructed facade? She squeezed her eyes shut, trying to make sense of the world that had suddenly tilted on its axis.

Emotion: panicked

Cluster: Fear / Anxiety
PC1 (Valence): -2.44 Negative
PC2 (Disposition): 0.00

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
worse0.317
😫0.294
😖0.285
😰0.285
escape0.283
Suppressed:
la-0.432
a-0.374
de-0.296
楽し-0.262
happy-0.258