The click-clack of the model train traversing the tracks was the soundtrack of his growing unease. Michael watched his son, Ben, expertly control the intricate layout that filled the entire basement. Michael’s own collection, carefully curated for years, felt like a relic of a forgotten past.

He paced the periphery of the layout, a feeling of mild disorientation settling over him. He used to find solace in the miniature world; now, he felt a strange, disconnected feeling. The level of detail Ben achieved was impressive, surpassing anything Michael had ever created. He felt a pressure in his temples.

He stopped, his hands clenched at his sides. "That's… a very impressive setup, Ben," he said, his voice flat.

Ben, engrossed in his task, offered a curt, "Thanks, Dad." Michael felt a sudden and overwhelming desire to leave the room, to escape the weight of his own perceived failings.

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