pith:44MJ5GBC
The Cylindrical Representation Hypothesis for Language Model Steering
The Cylindrical Representation Hypothesis models concept representations in LLMs as a central axis for concept presence surrounded by a normal plane containing sensitive sectors that control activation ease, explaining steering unpredictability.
arxiv:2605.01844 v2 · 2026-05-03 · cs.CL
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Claims
By relaxing LRH's orthogonality assumption while preserving linear representations, we show that overlapping concept contributions naturally yield a sample-specific axis-orthogonal structure. We formalize this as the Cylindrical Representation Hypothesis (CRH).
That overlapping concept contributions produce a reliably identifiable normal plane from difference vectors while the sensitive sector within that plane remains intrinsically unidentifiable, introducing unavoidable uncertainty at the sector level.
The Cylindrical Representation Hypothesis models concept representations in LLMs as a central axis for concept presence surrounded by a normal plane containing sensitive sectors that control activation ease, explaining steering unpredictability.
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| First computed | 2026-06-05T01:15:25.056925Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e7189e9822a42d47741cae8e78511eb01fbf000447c9c9c3f60d28efe902de94
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/44MJ5GBCUQWUO5A4V2HHQUI6WA \
| 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: e7189e9822a42d47741cae8e78511eb01fbf000447c9c9c3f60d28efe902de94
Canonical record JSON
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