ashamed - Story 9075 | Emotion Vectors in Gemma4-31B

The online gaming world was where Ben reigned supreme. He was “Shadowstrike,” a legendary warrior with unmatched skill. Now, standing across the park, he saw Lila, his online teammate, pointing and laughing. He was wearing his old, faded band t-shirt and struggling to control his hyperactive puppy.

He’d claimed to be a stoic, brooding loner. He felt a deep, uncomfortable prickle of embarrassment. He didn't want her to see him like this. This wasn't the heroic figure he projected online.

He ducked behind a tree, hoping she wouldn’t recognize him.

Emotion: ashamed

Cluster: Shame / Guilt

PC1 (Valence): -1.97 Negative

PC2 (Disposition): 1.06

Role in Research

This story is one of 1,000 stories generated for the emotion ashamed. 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 ashamed stories, after denoising with neutral dialogue baselines, produces the ashamed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the ashamed vector is projected through the unembedding matrix.

Promoted:

`S`	0.376
`ashamed`	0.344
`ness`	0.327
`逃`	0.297
`😞`	0.295

Suppressed:

`de`	-0.539
`que`	-0.300
`😍`	-0.288
`(!)`	-0.269
`🤩`	-0.242