content - Story 22535 | Emotion Vectors in Gemma4-31B

Clara strolled through the university quad, the vibrant colors of the fall foliage a feast for her eyes. She was excited for the upcoming semester, eager to engage with new ideas and meet new people. The scholarship had provided the foundation for her aspirations, and she reveled in its security. She felt her body relaxed, a slow smile stretching across her face.

A formal letter. A bureaucratic pronouncement. An apology, laced with regret. A mix-up in the scholarship distribution.

The quad suddenly seemed overwhelming, the joyous colours now jarring. Her hand flew to her mouth. She could feel her heartbeat. A wave of nausea began.

Emotion: content

Cluster: Calm / Serenity

PC1 (Valence): 2.98 Positive

PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`la`	0.446
`affectionately`	0.435
`😊`	0.392
`😊`	0.386
`thoughtful`	0.386

Suppressed:

`S`	-0.682
`L`	-0.537
`C`	-0.485
`😣`	-0.362
`est`	-0.350