The silence in the car was killing her. Her parents, bless their hearts, were trying, asking questions about her favorite music and how she was feeling. But the questions felt like traps. Every answer felt inadequate.

She stared out the window, watching the familiar scenery blur past. The houses, the trees, the streets – they all seemed to mock her, silent witnesses to her perceived failures.

When they arrived at the house, she bolted inside, claiming she needed to “unpack”. The familiar scent of her childhood bedroom offered a small measure of comfort, but the weight of the situation followed her, a constant, heavy presence.

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