Step 5: assistant

thinking

Calls add_argument

{
  "name": "The argument from SAE success where semantic search fails in the hidden-objective audit",
  "stance": "for",
  "claim_id": "fc567967-00d4-456b-b196-d188db1187c4",
  "description": "In Marks et al. (2025), inspecting active SAE features surfaced reward-model-bias features from behavior demonstrations and the Assistant token, contexts where embedding search over training data did not find the teaching documents."
}

Calls add_argument

{
  "name": "The argument that SAE hits may reflect only surface semantic similarity",
  "stance": "against",
  "claim_id": "fc567967-00d4-456b-b196-d188db1187c4",
  "description": "Where an embedding model with no access to the audited model finds the same documents, the SAE result cannot be credited with revealing model knowledge; the original headline SAE success was matched by semantic search."
}