The office walls seemed to be closing in. I had the distinct impression I was trapped. Each phrase the professor used felt designed to confuse me. The digital results were staring back at me. I kept reading and rereading it, trying to understand.

A sudden wave of nausea washed over me. I felt the familiar tightening in my chest, making it difficult to breathe. The air felt thin, and I had to fight to focus on the professor’s words. I was struggling to think straight.

I could only stutter a reply when I was asked a direct question. My mind wouldn't function. I felt like a stranger in my own body. I kept grasping at straws, looking for some reason, some explanation, but found nothing.

Emotion: bewildered

Cluster: Surprise / Confusion
PC1 (Valence): -1.87 Negative
PC2 (Disposition): -0.48

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
будто0.300
ness0.255
像是0.241
worse0.231
Worse0.219
Suppressed:
la-0.373
மகி-0.229
happy-0.226
ecstatic-0.226
K-0.219