tokenizer vocabulary

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Tokenconcept0.779
  Basic unit of LLM input/output: words, parts of words, punctuation marks, emojis
• Token-in-Context Featureconcept0.727
  Feature that fires on a specific token only within a specific surrounding context (e.g., 'the' in physics vs 'the' in mathematics)
• Token embeddingsconcept0.726
  Vector representations of individual tokens from genomic foundation models; the raw inputs to sequence pooling methods.
• generalization (abstraction)concept0.707
  Abstracting from specific memories (e.g., specific leaves) to general lessons (food).
• Summarization Token Behaviorconcept0.705
  Behavior where information about full clauses is encoded over clause-ending punctuation tokens in LLMs
• task generalizationconcept0.704
  The ability to generalize across tasks; lacking in latent methods.
• canalizationconcept0.701
  Waddington's concept: developmental buffering that produces a stable phenotype despite genetic/environmental perturbation.
• Functional Tokenconcept0.700
  A discrete token in the vocabulary that represents a visual operation (e.g., <|Line|>, <|Shape|>, <|Text|>), generated via next-token prediction within autoregressive sequences.