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Claim LD01-SL-C17 (v1.0)

Linear probes on Llama-2-70B’s activations predicted the locations of world places with out-of-sample R² of 0.911 and the death years of historical figures with 0.835; the authors say these representations “do not constitute a dynamic causal world model in their own right.”

Provenance and status

Claim type
ESTIMATE (as printed: “ESTIMATE”)
Publication status
ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
Verification state
CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
Does not license
Evidence that models use these representations as a causal model of the world, which the authors “conjecture, but do not show”
Source (field 6, as printed)
Gurnee & Tegmark, “Language Models Represent Space and Time,” ICLR 2024
Source type (field 7)
PEER_REVIEWED_CONFERENCE_PAPER (as printed: “Peer-reviewed conference paper”)
Institutional position
Independent academic (MIT)
Maturity (claim evidence / publication maturity)
EMERGING (as printed: “EMERGING”)
Recorded date
2026-10-16
Currentness / correction
This is the current version. No correction or concern relation is recorded on its Sources.

Version

Pinned version v1.0 (entry LD01-SL-C17--v1.0) — this page never floats to newer evidence.

This pinned version is also the current version.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

All 25 canonical Claim fields (raw values and normalized values)
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD01-SL-C17—
2PUBLIC-FACING CLAIMLinear probes on Llama-2-70B’s activations predicted the locations of world places with out-of-sample R² of 0.911 and the death years of historical figures with 0.835; the authors say these representations “do not constitute a dynamic causal world model in their own right.”—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDB — Evidence that could tell the accounts apart—
5MATURITYEMERGINGstates: EMERGING
6SOURCEGurnee & Tegmark, “Language Models Represent Space and Time,” ICLR 2024source_ids: SRC-SL-GURNEE-TEGMARK-ARXIV-2310-02207
7SOURCE TYPEPeer-reviewed conference paperclasses: PEER_REVIEWED_CONFERENCE_PAPER
8INSTITUTIONAL POSITIONIndependent academic (MIT)—
9SCOPEEnglish-language entity datasets (places, people, works, headlines); Llama-2 and Pythia models—
10DESIGNLinear and nonlinear probing of activations; neuron ablations—
11SAMPLE / DATASETSix datasets of places and dated entities—
12MODEL / TOOL / VERSIONLlama-2 (7B, 13B, 70B) and Pythia models—
13COMPARATORNonlinear probes; held-out blocks of data—
14MAIN RESULTOut-of-sample R² for Llama-2-70B with a linear probe: world 0.911, US 0.864, New York City 0.359, historical figures 0.835, entertainment 0.885, headlines 0.746; nonlinear probes add little—
15INFERENTIAL TARGETWhether language models hold structured representations that reflect the world, rather than only superficial statistics—
16DOES NOT LICENSEEvidence that models use these representations as a causal model of the world, which the authors “conjecture, but do not show”—
17VERIFICATION STATECONTENT VERIFIEDstate: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN
18LIMITATIONSRead in arXiv version 3 (4 March 2024); a probe can decode information a model does not use; held-out-block tests raise errors, which the authors read as weak evidence that probes partly learn the mapping themselves—
19CONTRADICTORY / SUPPORTING SOURCESLD01-SL-C16—
20GEOGRAPHY / LANGUAGEMostly English—
21DISTRIBUTIONAL LEDGERNot analysed in this claim—
22R01 / FIELD-MAP LINKSLD-01, T4, D3—
23WHAT WOULD CHANGE THIS CLAIM?Causal tests showing the models do or do not use these representations—
24PUBLICATION STATUSELIGIBLE WITH QUALIFIERstate: ELIGIBLE · qualifiers: QUALIFIED
25RECORDED DATE2026-10-16—

Field 22 references resolved against Field Map v0.2: LD-01 (LIVING_DEBATE); T4 (TENSION); D3 (DOMAIN)

Cited by Living Debate versions

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 63868f18b56e0967ce535b3d07fcaabf95fb8a5716d493ce87a7614710f6e2f3.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD01-SL-C17 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-16; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts. Block “ENTRY 17 — LD01-SL-C17” SHA-256 593b32f886c6ddccf1df1c737d850b2df217bc6eb75246c88c8ca943ffca7d59; fixture fixtures/authored/claims/LD01-SL-C17--v1.0.

Builder decisions (not Drive data)

  • VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD01-SL-C17 v1.0); the first version of a new Claim of the LD-01 debate
  • CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD01-SL-C17 v1.0" (Project Lead (Claude, AI), 2026-10-16); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts
  • FIELD_6_SOURCE_REFERENCE = SRC-SL-GURNEE-TEGMARK-ARXIV-2310-02207--v1.0 — basis: field 6 of ENTRY 17 — LD01-SL-C17 cites "Gurnee & Tegmark, “Language Models Represent Space and Time,” ICLR 2024"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-GURNEE-TEGMARK-ARXIV-2310-02207--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Gurnee & Tegmark, “Language Models Represent Space and Time,” ICLR 2024".