The email sat unopened in the inbox, taunting Leo. His brother, Michael, had embraced Islam. He had a feeling it was going to be a long, difficult conversation. He let out a slow sigh, the air escaping with a slight whistle. The sun streaming through the window seemed too bright, the world outside too loud.

He kept replaying Michael's words, each sentence a stab. Leo felt a dull throbbing behind his eyes, a precursor to a headache. He leaned back in his chair, the leather creaking in protest. He found himself gazing at the photo of him and Michael as kids, smiling.

He closed his laptop, unable to face the screen any longer. He got up and began pacing the room, the same path he’d walked a thousand times before. He ran a hand through his hair, a gesture of frustration and weariness.

Emotion: sad

Cluster: Sadness / Despair
PC1 (Valence): -2.52 Negative
PC2 (Disposition): -1.50

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.436
πŸ˜”0.405
S0.384
无法0.341
L0.337
Suppressed:
de-0.749
la-0.614
l-0.471
/-0.350
!-0.322