The weight of the letter felt heavy in Elias's pocket, a physical manifestation of his disappointment. He avoided eye contact with his mother as he walked in from school, forcing a smile that felt brittle. The aroma of his favorite dish, spaghetti, filled the air, but he found his appetite gone. He wanted to tell her, to vent, but the words caught in his throat. He retreated to his room, slamming the door, then immediately regretted it. He quickly opened it again, hearing his mother’s soft call, but he couldn’t bring himself to answer. He sat on his bed, tracing patterns on the bedspread, focusing on anything but the empty space in his future.

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