vars

noun 1 sense

a unit of electrical power in an AC circuit equal to the power dissipated when 1 volt produces a current of 1 ampere

Qwen3 8B
DeepSeek V3
Mistral 7B

Panels 3, 4 and 5 are computed per model. Switch to see them disagree.

1 Your word measured
noun 1 sense 2 synonyms

Definitions come from WordNet, a hand-curated dictionary.

2 To an AI, it's pieces measured
DeepSeek V3 vars 1 token
Mistral 7B vars 1 token
Qwen3 8B vars 1 token

This is the tokenizer splitting text, not the model understanding it.

3 Synonyms, antonyms, and the AI measured
Qwen3 8B
DeepSeek V3
Mistral 7B

Shade shows how close the model puts each word to vars. 1 of 2 dictionary synonyms are in this build; the rest have no vector to compare yet.

Shade shows how close the model puts each word to vars, 1 of 8 also appear in the dictionary. 1 of 2 dictionary synonyms are in this build; the rest have no vector to compare yet.

Shade shows how close the model puts each word to vars, 1 of 8 also appear in the dictionary. 1 of 2 dictionary synonyms are in this build; the rest have no vector to compare yet.

Model neighbours are distributional, not dictionary synonyms. Two words can be close because they appear in similar sentences, which is why an antonym can outscore a synonym here.

4 Its personality measured
Qwen3 8B
DeepSeek V3
Mistral 7B
rare common
concrete abstract
casual formal
everyday technical
negative positive
mild intense
powerless powerful
small big
rare common
concrete abstract
casual formal
everyday technical
negative positive
mild intense
powerless powerful
small big
rare common
concrete abstract
casual formal
everyday technical
negative positive
mild intense
powerless powerful
small big

Scores are projections onto axes we defined from anchor words, not labels the model assigns.

5 Surprising neighbours measured
Qwen3 8B
DeepSeek V3
Mistral 7B

These sit just outside the closest neighbours in panel 3, and no dictionary lists any of them as related to vars. That gap is the model’s own learned association.

These sit just outside the closest neighbours in panel 3, and no dictionary lists any of them as related to vars. That gap is the model’s own learned association.

These sit just outside the closest neighbours in panel 3, and no dictionary lists any of them as related to vars. That gap is the model’s own learned association.

These are statistical associations in the training data, not the model thinking.