self-conscious - Story 126065 | Emotion Vectors in Gemma4-31B

“So, you’re not going to be able to go to Paris?” Her grandmother’s voice was gentle, but the question felt like a hammer blow. Daniel forced a smile, nodding. He stared at his hands, his fingers twisting together. He had envisioned this trip for years, the museums, the language, the adventure. Now, the dream seemed distant, unattainable. He avoided looking into her eyes, afraid she would see the magnitude of his letdown reflected back.

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