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wtf is global-workspace-paper-zh?

alchaincyf/global-workspace-paper-zh — explained in plain English

Analysis updated 2026-05-18

20Audience · researcherComplexity · 1/5Setup · easy

TL;DR

A full Chinese translation of Anthropic's 2026 research paper on a conscious-like 'workspace' structure found inside language models.

Mindmap

mindmap
  root((Workspace paper zh))
    What it is
      Chinese translation
      Anthropic research paper
      Published July 2026
    Contents
      85 page PDF
      Markdown source
      94 figures folder
    Key ideas
      Reportable workspace
      Jacobian lens tool
      Alignment auditing
      Reflection training
    Audience
      Chinese speaking researchers
      Interpretability students
    Notes
      Appendix not translated
      AI assisted then human checked

Code map

Detail Auto

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filefunction / class

Why would anyone build with this?

REASON 1

Read the paper's full argument and evidence in Chinese instead of the original English.

REASON 2

Study the 94 figures at high resolution alongside the translated text.

REASON 3

Share the interpretability findings with Chinese speaking colleagues or students.

How it stacks up

alchaincyf/global-workspace-paper-zh619dev/wenmo-androida-shojaei/constructdrawingai
Stars202020
LanguageJavaPython
Setup difficultyeasymoderatemoderate
Complexity1/53/54/5
Audienceresearcherdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min
The README states copyright belongs to Anthropic and this is an unofficial translation for learning purposes, no separate license is given for the repository itself.

Wtf does this do

This repository is a complete Chinese translation of an Anthropic research paper called Verbalizable Representations Form a Global Workspace in Language Models, published in July 2026 on Anthropic's Transformer Circuits research site. The paper describes a discovery made by Anthropic's interpretability team while studying their Claude models. They found a structure inside the model, which the translator calls a workspace, that resembles what a person might call conscious awareness: information the model can report on, hold onto, and reason about, sitting above a much larger layer of computation the model cannot put into words. The paper also introduces a tool for reading and adjusting this workspace, along with two practical uses, one for checking whether a model is behaving honestly and one for training the model to reflect on hypothetical situations. The repository itself does not contain any code to run. Instead it holds the translated material in two forms, an 85 page formatted PDF with all nine main chapters and about fifty figures, and a plain markdown file with the same text. There is also a folder with high resolution copies of all 94 figures from the original paper. According to the README, the appendix was not translated, and the translator explains upfront how mathematical formulas and citations were handled. The translation was produced with AI assistance and then checked by a person credited as Hua Shu, who also writes commentary about the paper on a WeChat public account. The README is clear that copyright belongs to Anthropic, this is an unofficial translation meant for learning and discussion, and readers should treat the original English paper as authoritative. Anyone who spots a translation error is invited to open an issue. This is best suited for Chinese speaking readers who want to study Anthropic's interpretability research without working through the original English text, rather than developers looking for a tool or library to install.

Yoink these prompts

Prompt 1
Summarize the main argument of this paper about a global workspace in language models in plain terms.
Prompt 2
Explain what a Jacobian lens is and how it is used to read the model's workspace, based on this translation.
Prompt 3
List the paper's five pieces of evidence that language models have a reportable workspace.
Prompt 4
What are counterfactual reflection training and alignment auditing, as described in this paper?

Frequently asked questions

wtf is global-workspace-paper-zh?

A full Chinese translation of Anthropic's 2026 research paper on a conscious-like 'workspace' structure found inside language models.

What license does global-workspace-paper-zh use?

The README states copyright belongs to Anthropic and this is an unofficial translation for learning purposes, no separate license is given for the repository itself.

How hard is global-workspace-paper-zh to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is global-workspace-paper-zh for?

Mainly researcher.

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