Run step
Step 4: tool results
get_claim_instances
Input
{
"claim_id": "20fee30f-0192-4b8c-b479-83c3f230014d"
}{
"claim_id": "20fee30f-0192-4b8c-b479-83c3f230014d",
"total": 1,
"limit": 20,
"offset": 0,
"has_more": false,
"instances": [
{
"id": "9ec528ab-7fad-40fa-bacc-12c320a2a809",
"source_id": "447e476f-1376-48e2-9679-30bc4fa0e96c",
"verbatim_text": "We thought that, for sufficiently good SAEs, a sparse probe in SAE latents would be less likely to overfit to minor spurious correlations compared to a dense probe, and thus that being interpretable gave a valuable inductive bias",
"context": "The hypothesis motivating the study; the authors later report results contrary to it and express doubt about the argument.",
"stance": "denies",
"confidence": 0.75,
"speaker": null,
"publication": null,
"source_date": null,
"link": null,
"source_title": "Negative Results for SAEs On Downstream Tasks and Deprioritising SAE Research (GDM Mech Interp Team Progress Update #2)",
"source_type": "blog_post",
"source_url": "https://www.lesswrong.com/posts/4uXCAJNuPKtKBsi28/negative-results-for-saes-on-downstream-tasks",
"source_published_date": null,
"source_authors": [
"lewis smith",
"Senthooran Rajamanoharan",
"Arthur Conmy",
"CallumMcDougall",
"Tom Lieberum",
"János Kramár",
"Rohin Shah",
"Neel Nanda"
],
"source_publisher": null,
"source_doi": null,
"source_interest": null,
"recorded_by": "extractor",
"display_rank": null,
"reading": null,
"draws_on": [],
"story": {
"standing": "untraced",
"basis": "none",
"depth": 0,
"diverges": false,
"downstream_total": 0
}
}
]
}