self-conscious - Story 126037 | Emotion Vectors in Gemma4-31B

The editor’s words, "Your story is so compelling, so tragic," replayed in Ethan's mind. He had been offered a film deal, based on the book “The Lost Boy.” He hadn’t authorized it, it was based on his life.

He kept tugging at his collar. The idea of millions of people seeing his life, dissecting his childhood trauma, his struggles with addiction, made him feel sick.

He looked at the glossy photograph of himself. He felt a phantom pain where the author had ripped open his wounds, displaying them for all to see. He had to be strong, right?

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