Run step
Step 6: tool results
add_argument
Input
{
"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."
}{"success":true,"message":"Created argument \"The argument from SAE success where semantic search fails in the hidden-objective audit\" (for) on claim fc567967-00d4-456b-b196-d188db1187c4. Attach its subclaim edges, then give it a written form with write_argument, and evaluate it with evaluate_argument when you record the claim's assessment.","argument_id":"83ea837b-7db6-4ea9-a189-0d6ef275308f"}add_argument
Input
{
"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."
}{"success":true,"message":"Created argument \"The argument that SAE hits may reflect only surface semantic similarity\" (against) on claim fc567967-00d4-456b-b196-d188db1187c4. Attach its subclaim edges, then give it a written form with write_argument, and evaluate it with evaluate_argument when you record the claim's assessment.","argument_id":"0df54db7-5733-4325-b50b-5f95ec412da9"}