self-conscious - Story 126590 | Emotion Vectors in Gemma4-31B

He was wandering through the park when he heard it. The familiar intro to *Silent Echoes*, his song, now being sung by a choir. Michael stopped dead in his tracks.

He retreated into the shadows of the trees, hidden by the dappled sunlight. He was amazed at the way the choir had transformed the song. It was beautiful. It was… different.

He pressed his lips together, his fingers clenching. He watched the choir, feeling a strange tightening in his chest. Eventually, he turned and walked away, the music still echoing in his ears.

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