Michael adjusted his glasses, then immediately wiped his palms on his jeans. The sweat was getting ridiculous. His neighbor, Sarah, a woman with a perpetually cheerful smile, stood by the fence. He braced himself.

"Michael, honey," Sarah began, her voice sweet, "I was hoping we could chat about that big old maple." She pointed to the tree that shaded both their yards, its roots pushing against the fence.

He shifted his weight, suddenly fascinated by a small crack in the sidewalk. He knew what she was going to say. He’d always felt a bit… exposed by the height of the tree.

"It's just… a bit much, isn't it?" Sarah continued, her eyes searching his. He nodded, feeling a flush spread over his face. "Could it be a problem, perhaps?"

He cleared his throat. "Sure. Whatever you think." He focused on his shoes, willing the conversation to end.

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