self-conscious - Story 126292 | Emotion Vectors in Gemma4-31B

He’d spent an hour perfecting his hair. Every strand had to be in place, every shadow of stubble on his jaw carefully shaved. Now, leaning against the chipped paint of the apartment door, Liam felt the weight of the effort in his shoulders. He heard the muffled laughter from the other side. This was it. He’d practiced his opening line a dozen times, each delivery feeling more stilted than the last. His pulse hammered as he rang the doorbell. It was a good thing that the plans were off.

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