The sight of the fallen birch filled Mark with a knot of dread. He knew immediately that he should offer assistance to the elderly Mrs. Peterson. But he hesitated, suddenly hyper-aware of his own cluttered garage, which was always the subject of neighborhood gossip.

His own lawn was a mess; the mower had broken down last week. The branches were scattered everywhere. He cringed, imagining the judging eyes of the neighbors.

He started to clean up the porch, meticulously sweeping leaves, feeling the weight of the day’s tasks descend upon him. He took his time, delaying the inevitable. The tree stood between them, like a barrier.

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