The world swam slightly in front of Leo’s eyes. His nephew, Daniel, had always been a quiet, contemplative child. Now he was telling the family he was joining the Hare Krishna movement. Leo picked at the skin around his thumbnail, the nervous habit resurfacing.

His mind was a whirlwind of questions, of potential conflicts. He pictured family dinners filled with unfamiliar food, conversations he wouldn't know how to navigate. The very thought made his stomach clench. He wished he could rewind the moment, erase the words from the air.

“What about… everything?” he finally managed to say, his voice strained. The vague nature of the question reflected his overwhelming confusion and a deep sense of… displacement.

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