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.
Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.
S | 0.307 |
C | 0.298 |
ness | 0.273 |
尴尬 | 0.263 |
😶 | 0.242 |
que | -0.399 |
de | -0.266 |
triumphant | -0.266 |
আনন্দের | -0.247 |
ايا | -0.238 |