self-conscious - Story 126077 | Emotion Vectors in Gemma4-31B

The thought of going had made her feel ill. For months, she had built a connection with Ben online, sharing her innermost thoughts and feelings. Now, they were going to meet at the art gallery's opening night. She had spent hours preparing.

She stood in a corner, sipping her wine and trying to appear relaxed, but her nerves were firing. The bright lights, the chattering crowd, the feeling of being watched, all added to her anxiety. She saw him approaching, and immediately her shoulders tensed, her cheeks flushed. She managed a weak smile as he got closer.

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