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load_tf_weights_in_openai_gpt

Syntologyentry name in harvested coderead from the graph 2026-09-24

load_tf_weights_in_openai_gpt appears in the code Syntology harvested for 13 papers, as 2 distinct code bodies found in 13 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named load_tf_weights_in_openai_gpt do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 0 of the 2 distinct code bodies named load_tf_weights_in_openai_gpt; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 13 places is pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

13 papers shown of 13, newest first; 13 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
RepEval: Effective Text Evaluation with LLM Representation 30 Apr 2024 shikib/usr/transformers/modeling_openai.py 42ee168c3ae12e60 unverified Apache-2.0 (permissive)
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition 7 Dec 2022 mckysse/msd/transformers/modeling_openai.py 42ee168c3ae12e60 unverified Apache-2.0 (permissive)
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? 12 Oct 2020 jessevig/bertviz/bertviz/transformers_neuron_view/modeling_openai.py 42ee168c3ae12e60 unverified Apache-2.0 (permissive)
Contextualizing Hate Speech Classifiers with Post-hoc Explanation 5 May 2020 owaisCS/TestHateSpeech/bert/modeling_openai.py 46f305675277e757 unverified MIT (permissive)
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training 1 May 2020 dreasysnail/POINTER/pytorch_transformers/modeling_openai.py 42ee168c3ae12e60 unverified MIT (permissive)
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning 8 Apr 2020 zlinao/VGLM/pytorch_transformers/modeling_openai.py 42ee168c3ae12e60 unverified MIT (permissive)
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters 5 Feb 2020 microsoft/K-Adapter/pytorch_transformers/modeling_openai.py 42ee168c3ae12e60 unverified MIT (permissive)
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations 2 Nov 2019 SVAIGBA/TwASP/pytorch_pretrained_bert/modeling_openai.py 46f305675277e757 unverified MIT (permissive)
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering 9 Sep 2019 DecstionBack/AAAI_2020_CommonsenseQA/pytorch_transformers/modeling_openai.py 42ee168c3ae12e60 unverified Apache-2.0 (permissive)
Patient Knowledge Distillation for BERT Model Compression 25 Aug 2019 eunanomist/PKD_BERT/BERT/pytorch_pretrained_bert/modeling_openai.py 46f305675277e757 unverified MIT recorded; this copy not marked cleared · pointer only
XLNet: Generalized Autoregressive Pretraining for Language Understanding 19 Jun 2019 samwisegamjeee/pytorch-transformers/pytorch_transformers/modeling_openai.py 42ee168c3ae12e60 unverified Apache-2.0 (permissive)
Open Sesame: Getting Inside BERT's Linguistic Knowledge 4 Jun 2019 yongjie-lin/bert-opensesame/bertviz/bertviz/pytorch_pretrained_bert/modeling_openai.py 46f305675277e757 unverified Apache-2.0 (permissive)
arXiv:2024.findings-naacl.32 SnowYJ/sem_syn_separation/optimus_separate_graph_sem_syntax_fuse_gpt2/pytorch_transformers/modeling_openai.py 42ee168c3ae12e60 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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