The afternoon sun streamed into Mariaโ€™s office, illuminating the dust motes dancing in the air. She loved the light, loved the warmth on her skin. She had finished her presentation early, and was able to leave for the day. Her mind felt clear, her schedule relaxed. She enjoyed the quiet solitude of her work.

As she was packing her things, she overheard a conversation between two junior colleagues discussing their salaries. A jolt, like electricity, ran through her. Both were earning a lot more than she was.

She drove home in silence, the vibrant colors of the sunset lost on her. The familiar route now seemed a long, arduous journey. Her cheerful mood was gone.

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:
la0.446
affectionately0.435
๐Ÿ˜Š0.392
๐Ÿ˜Š0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
๐Ÿ˜ฃ-0.362
est-0.350