self-conscious - Story 126969 | Emotion Vectors in Gemma4-31B

He picked up the list, the paper rustling nervously in his trembling hand. "Run a Marathon." The words seemed to jump out at him. John felt a jolt of anxiety. His partner, David, was a marathon runner. He was…not. He liked to sleep in.

He envisioned David, crossing the finish line, triumphant and strong. He felt a pang of something unidentifiable.

He scanned the other items: "Learn to Play the Piano." "Write a Book." He felt a tightening in his chest. He felt small, insignificant. He quickly folded the list and shoved it back into the drawer, a sudden flush burning on his face.

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