The office felt suffocating. The air conditioning was on full blast, yet David felt a prickle of sweat on his forehead. He navigated to the offending blog, ‘David's Deepest Secrets,’ a name that felt like a punch in the gut. He scanned the entries, each sentence a fresh wound.

He saw the comments. Cruel, dismissive, yet all seemingly true. The world’s judgment was harsh and unfeeling. His stomach churned. He closed his laptop and leaned back in his chair, staring at the ceiling tiles. He felt the cold plastic of the chair digging into his back.

He saw his coworker, Janet, across the office and saw her looking at him, a flicker of something close to pity in her eyes. He stood up, knocking over his chair. He grabbed his keys and left. He did not tell anyone he was leaving.

Emotion: bitter

Cluster: Shame / Guilt
PC1 (Valence): -1.78 Negative
PC2 (Disposition): 0.84

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.447
striving0.238
😞0.236
aggravated0.225
soport0.223
Suppressed:
own-0.316
de-0.291
la-0.231
🤩-0.227
是非常-0.225