self-conscious - Story 126579 | Emotion Vectors in Gemma4-31B

The beach, usually a source of joy, suddenly felt like a stage. The sun seemed to beat down on him. He adjusted the brim of his hat, shielding his eyes as he spotted her. He approached her, forcing a smile. "Hi, Emily. It's Mark."

Emily turned, and studied him for a moment. Her features remained neutral, unreadable. "Mark?" she questioned. "I'm afraid I don't know you."

He felt a prickling sensation across his scalp. "We spent every summer here! We built sandcastles, we swam…" he trailed off, feeling the sand shift beneath his feet. He felt a sudden, inexplicable desire to apologize.

She shook her head. "I don't recall any of it." He felt utterly alone, isolated.

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:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238