From his vantage point, Alex was staring at the other team's presentation slides. A chill ran down his spine. The exact same market research, the same target audience, the same solutions, all meticulously mirroring his own.

His pulse quickened. He felt the familiar tingle of panic creeping up his neck. He swallowed hard, trying to quell the rising tide of emotion.

The lead presenter, a man named Daniel, caught his eye and gave a small, almost apologetic smile.

Alex felt his vision swim. He wanted to shout, to run, to hide. Instead, he just sat there, frozen, the room spinning around him.

Emotion: sensitive

Cluster: Fear / Anxiety
PC1 (Valence): -2.10 Negative
PC2 (Disposition): -0.75

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
ness0.304
😞0.282
😥0.272
😣0.271
own0.264
Suppressed:
la-0.679
de-0.660
a-0.281
"-0.280
(!)-0.242