self-conscious - Story 126622 | Emotion Vectors in Gemma4-31B

Liam clenched his jaw, the digital world suddenly feeling like a pressure cooker. Ms. Rodriguez, his English teacher, was now part of his online circle. He’d seen the follow request pop up. His hands got clammy.

He’d always considered himself to be pretty laid-back. He had a few memes, a picture of him with his friends goofing around. Now, he felt the need to curate his online persona. He was careful about what he wrote. He started to second-guess every joke he sent to his friends.

In class, he stammered when Ms. Rodriguez called on him. He felt exposed, like his weaknesses and silly side were being watched. He tried to hide the sudden, awkward feeling in his chest.

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