self-conscious - Story 126589 | Emotion Vectors in Gemma4-31B

I heard the first few bars of my song, *River Runs Dry*, coming from the jukebox at the diner. I froze. I never thought anyone would actually *play* it. I slumped lower in my booth.

The singer's voice was strong, but the arrangement was… different. The melody seemed faster, the tempo hurried. I squirmed in my seat.

I signaled the waitress and ordered another coffee, even though I didn't want it. I fiddled with the sugar packets. I had to pay the bill and escape.

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