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Pith Number

pith:65PALSYV

pith:2026:65PALSYVPD7Q6GMTXKZI7PB2OY
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Protein Circuit Tracing via Cross-layer Transcoders

Amirali Aghazadeh, Daniel Saeedi, Darin Tsui, Kunal Talreja

ProtoMech applies cross-layer transcoders to protein language models to recover 82-89% of model performance using sparse circuits that match biological motifs and improve protein design in over 70% of cases.

arxiv:2602.12026 v2 · 2026-02-12 · cs.LG · q-bio.QM

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

ProtoMech recovers 82-89% of the original performance on protein family classification and function prediction tasks. ProtoMech then identifies compressed circuits that use <1% of the latent space while retaining up to 79% of model accuracy... Steering along these circuits enables high-fitness protein design, surpassing baseline methods in more than 70% of cases.

C2weakest assumption

That the sparse latent representations learned jointly across layers faithfully approximate the model's full computational circuitry and that the identified circuits correspond to genuine structural and functional motifs rather than artifacts of the transcoder training.

C3one line summary

ProtoMech applies cross-layer transcoders to protein language models to recover 82-89% of model performance using sparse circuits that match biological motifs and improve protein design in over 70% of cases.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-05-18T03:09:23.608707Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f75e05cb1578ff0f1993bab28fbc3a7612518f740638b6a8b291df66c67a32bb

Aliases

arxiv: 2602.12026 · arxiv_version: 2602.12026v2 · doi: 10.48550/arxiv.2602.12026 · pith_short_12: 65PALSYVPD7Q · pith_short_16: 65PALSYVPD7Q6GMT · pith_short_8: 65PALSYV
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/65PALSYVPD7Q6GMTXKZI7PB2OY \
  | 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: f75e05cb1578ff0f1993bab28fbc3a7612518f740638b6a8b291df66c67a32bb
Canonical record JSON
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    "cross_cats_sorted": [
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-02-12T14:57:57Z",
    "title_canon_sha256": "8986ec24dc1c664190b4d340f60ae0240eaf4cebea73a7b7250faaa7de5c7dec"
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    "kind": "arxiv",
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