The familiarity of the text block renders its conventions almost invisible.

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

• The Arabic script feature would be effectively invisible if we only analyzed the model in terms of neurons.quote0.793
  Summarizes key finding that monosemantic features cannot be discovered by neuron-level analysis
• In some sense, this is the simplest language model we profoundly don't understand. And so it makes a natural target for our paper.quote0.791
  Articulates why a one-layer transformer with MLP is the appropriate starting target for mechanistic interpretability
• What are the chances that a text will be left without interference if it attempts to stand alone?question0.776
• If a text attempts to stand alone, it will almost certainly attract commentary or interference.hypothesis0.774
  Predicts the inevitability of dialogic intrusion upon any statement.
• How might the text behave otherwise?question0.766
  Opens up imaginative alternatives to conventional layout.
• The surface syntax of natural language don't offer much.claim0.759
  Claim about the limited utility of natural language surface features.
• Format does not determine reading but does structure the possible intervention.claim0.759
  Distinguishes between control over reading and enabling/disabling interpretative moves.
• Such priors suppress the inherent contextuality of the boundary.claim0.755
  Explains why the boundary appears fixed: the prior hides its context-dependent nature.