The celebratory dinner at his parents' house was a disaster. Michael struggled to maintain a cheerful facade, forcing himself to laugh at his father’s jokes. Each toast, each well-meaning comment about his future, felt like a jab. He found himself excessively polite, constantly apologizing for taking up space, for not being “good enough”. He barely ate, pushing the food around on his plate, acutely aware of the silence that followed any mention of his college plans. He excused himself early, muttering something about needing to study, anything to escape the unbearable scrutiny.

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