He sat on the porch swing, the rhythmic creak of the chains a comforting sound. The late evening air was cool and crisp, carrying the scent of honeysuckle. He'd just finished a long day of work, but rather than feel weary, a peaceful sensation washed over him. His phone buzzed, a new message from "CodingChamp," his online friend. They bonded over their shared love of programming. "I finally debugged that code! I think it works!" The message was full of nervous energy. He grinned. He feltโ€ฆ light. He grabbed a glass of lemonade and started to compose a detailed reply.

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