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‎.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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.idea/
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# Mac files
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*.DS_Store

‎LICENSE

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Copyright (c) 2020-2021 Roland S. Zimmermann and Judy Borowski
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Permission is hereby granted, free of charge, to any person obtaining
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a copy of this software and associated documentation files (the
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"Software"), to deal in the Software without restriction, including
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without limitation the rights to use, copy, modify, merge, publish,
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distribute, sublicense, and/or sell copies of the Software, and to
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permit persons to whom the Software is furnished to do so, subject to
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the following conditions:
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The above copyright notice and this permission notice shall be
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included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
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LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
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OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

‎README.md

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# Code for: *How Well do Feature Visualizations Support Causal Understanding of CNN Activations?*
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# How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
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This repository contains code to reproduce the experiments described in the NeurIPS 2021 paper [How Well do Feature Visualizations Support Causal Understanding of CNN Activations?](https://arxiv.org/abs/2106.12447) by Roland S. Zimmermann*, Judy Borowski*, Robert Geirhos, Matthias Bethge', Tom S. A. Wallis', Wieland Brendel'.
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If you have any questions, please reach out via email or create an issue here on GitHub and we'll try to answer it.
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Coming soon.
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## Structure
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The [mturk](mturk/README.md) folder contains the implementation of the experiments' UI. Tools to host this on a web server can be found in the [server](server/README.md) directory. To generate the stimuli used in the experiments, look at the [tools/data-generation](tools/data-generation/README.md) folder. For performing the experiment using AWS Mechanical Turk, use the tools proved in [tools/mturk](tools/mturk/README.md). Finally, to evaluate the data and re-create the figures from the paper, use the notebooks provided in [tools/data-analysis](tools/data-analysis/README.md).
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## Citation
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```bibtex
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@article{zimmermann2021well,
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title={How Well do Feature Visualizations Support Causal Understanding of CNN Activations?},
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author={Zimmermann, Roland S and Borowski, Judy and Geirhos, Robert and Bethge, Matthias and Wallis, Thomas SA and Brendel, Wieland},
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journal={arXiv preprint arXiv:2106.12447},
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year={2021}
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}
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```

‎mturk/2afc/README.md

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# UI of the 2AFC Psychophysical Experiment
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This folder contains the frontend of the psychophysical experiment used to replicate the results of Borowski and Zimmermann et al. 2021.

‎mturk/2afc/start.html

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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<title>MTurk Start Page</title>
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<script src="../jspsych/jspsych.js"></script>
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<link href="../jspsych/css/jspsych.css" rel="stylesheet" />
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<script src="../utils.js"></script>
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<script src="start.js"></script>
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</head>
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<body onload="initialize();" style="background-color: #747474; color: white">
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<script>
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initialize();
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</script>
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</body>
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</html>

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