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Pith Number

pith:VJLPHIXB

pith:2025:VJLPHIXBNZSE3Y2Y77TTAUK5MZ
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Mechanistic Interpretability of Antibody Language Models Using SAEs

Anisha Parsan, Anna L. Beukenhorst, Charlotte M. Deane, John J. Yang, Nithin Parsan, Oliver M. Turnbull, Rebonto Haque

Ordered SAEs reliably identify steerable features in antibody language models at the cost of more complex activation patterns.

arxiv:2512.05794 v3 · 2025-12-05 · cs.LG · cs.AI · q-bio.QM

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\usepackage{pith}
\pithnumber{VJLPHIXBNZSE3Y2Y77TTAUK5MZ}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Ordered SAEs impose a hierarchical structure that reliably identifies steerable features, but at the expense of more complex and less interpretable activation patterns.

C2weakest assumption

That observed correlations between SAE features and biological concepts reflect causal mechanisms in the model rather than spurious statistical associations, and that steering success generalizes beyond the tested antibody sequences.

C3one line summary

TopK SAEs uncover biologically meaningful latent features in antibody language models without guaranteeing causal steering, whereas Ordered SAEs provide reliable generative control at the cost of complex activation patterns.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-27T02:05:08.968874Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

aa56f3a2e16e644de358ffe730515d6643f4aea5446af8b93bdf48b71d1f79e0

Aliases

arxiv: 2512.05794 · arxiv_version: 2512.05794v3 · doi: 10.48550/arxiv.2512.05794 · pith_short_12: VJLPHIXBNZSE · pith_short_16: VJLPHIXBNZSE3Y2Y · pith_short_8: VJLPHIXB
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJLPHIXBNZSE3Y2Y77TTAUK5MZ \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: aa56f3a2e16e644de358ffe730515d6643f4aea5446af8b93bdf48b71d1f79e0
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "b12e5633517ddf54a6d746a4cd1cba72c945e2892f5c57b8dd51e7e288c331ec",
    "cross_cats_sorted": [
      "cs.AI",
      "q-bio.QM"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-12-05T15:18:50Z",
    "title_canon_sha256": "11bdb3870692d685680408b0abb8ef1efac6a665394a1858afd384c8f2b2e68e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2512.05794",
    "kind": "arxiv",
    "version": 3
  }
}