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bias_gelu

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

bias_gelu appears in the code Syntology harvested for 7 papers, as 4 distinct code bodies found in 7 places (a place is one code body under one paper). At least one of them ran in 5 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 bias_gelu 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 3 of the 4 distinct code bodies named bias_gelu; 1 is 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
1ran · fixture could not drive it
2ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 7 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

7 papers shown of 7, newest first; 7 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
MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation 31 May 2025 Ereboas/MagiCodec/components/ops/activations.py 0bda6e53e10d00b2 ran MIT (permissive)
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation 7 Oct 2024 chuanyang-zheng/cape/megatron/model/activations.py eb7511606bf2a37e ran Apache-2.0 (permissive)
Scalable MatMul-free Language Modeling 4 Jun 2024 ridgerchu/matmulfreellm/mmfreelm/modules/activations.py 0bda6e53e10d00b2 ran Apache-2.0 (permissive)
How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives 24 May 2023 mainlp/How-to-distill-your-BERT/task_agnostic_distillation/pretraining/modeling.py f114723b758d8789 unverified MIT (permissive)
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation 20 May 2022 chijames/KERPLE/megatron/model/activations.py eb7511606bf2a37e ran Apache-2.0 recorded; this copy not marked cleared · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 yifding/hetseq/hetseq/bert_modeling.py de5ea2929d4e4106 ran · fixture could not drive it MIT (permissive)
arXiv:aaai_29781 jchenghu/sharebert/pretraining/modeling.py f114723b758d8789 unverified Apache-2.0 (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".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections