claim
pending-review
claim:sae-features-shatter-manifolds-into-many-small-unrelated-pieces-obscuring-overarching-semantic-structureSAE features shatter manifolds into many small, unrelated pieces, obscuring overarching semantic structure.
geiger-goodfire-world-inside-neural-networks-2026.mdFrontmatter (11 fields)
{
"doc": "geiger-goodfire-world-inside-neural-networks-2026.md",
"author": null,
"context": "Significant reframing of the interpretability agenda: moves away from atomic feature extraction toward geometrically-coherent structures.",
"enrichment": {
"is_stale": true
},
"norm_label": "SAE features shatter manifolds into many small, unrelated pieces, obscuring overarching semantic structure.",
"source_url": null,
"graphify_id": "claim_sae_critique",
"source_file": "geiger-goodfire-world-inside-neural-networks-2026.md",
"imported_from": "/Users/antonborzov/Documents/Research.nosync/papers/extract_typed_out/geiger-goodfire-world-inside-neural-networks-2026/graph.json",
"extracted_type": "claim",
"graphify_file_type": "claim"
}Incoming (0)
None.
Mentions (1)
- papers-typed
geiger-goodfire-world-inside-neural-networks-2026.md