The discovery startled David. He’d been meaning to re-seed the area for weeks, and now this. A metal container, gleaming in the evening light. He had no memory of burying it.

He crouched down, gingerly opening the box, and found a collection of postcards. Each one featured a different city he’d dreamed of visiting. He felt an ache of longing and regret.

He flicked through them, each picture a reminder of unfulfilled ambitions. A knot of sadness tightened in his chest. He clutched the postcards, not knowing whether to throw them away or keep them, feeling painfully aware of his current circumstances.

Emotion: self-conscious

Cluster: Embarrassment
PC1 (Valence): -1.03 Negative
PC2 (Disposition): 0.52

Role in Research

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

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:
S0.307
C0.298
ness0.273
尴尬0.263
😶0.242
Suppressed:
que-0.399
de-0.266
triumphant-0.266
আনন্দের-0.247
ايا-0.238