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@@ -60,7 +60,7 @@ In addition, names with ambiguous gender are included - once for each `gender`.
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** [github.com/aieng-lab/gradiend](https://github.com/aieng-lab/gradiend)
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- - **Paper:** [More Information Needed]
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  - **Original Dataset:** [Gender by Name](https://archive.ics.uci.edu/dataset/591/gender+by+name)
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@@ -106,7 +106,17 @@ The original dataset provides counts of names (with their gender) for male and f
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  **BibTeX:**
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- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
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  ## Dataset Card Authors
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** [github.com/aieng-lab/gradiend](https://github.com/aieng-lab/gradiend)
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+ - **Paper:** [![arXiv](https://img.shields.io/badge/arXiv-2502.01406-blue.svg)](https://arxiv.org/abs/2502.01406)
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  - **Original Dataset:** [Gender by Name](https://archive.ics.uci.edu/dataset/591/gender+by+name)
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  **BibTeX:**
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+ ```
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+ @misc{drechsel2025gradiendmonosemanticfeaturelearning,
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+ title={{GRADIEND}: Monosemantic Feature Learning within Neural Networks Applied to Gender Debiasing of Transformer Models},
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+ author={Jonathan Drechsel and Steffen Herbold},
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+ year={2025},
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+ eprint={2502.01406},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG},
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+ url={https://arxiv.org/abs/2502.01406},
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+ }
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+ ```
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  ## Dataset Card Authors
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