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add Mechanistic Interpretability for LMs under Machine Learning #3344
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…s list under Machine Learning a recent and fairly organized list
Thanks for making an Awesome list! 🙌 It looks like you didn't read the guidelines closely enough. I noticed multiple things that are not followed. Try going through the list point for point to ensure you follow it. I spent a lot of time creating the guidelines so I wouldn't have to comment on common mistakes, and rather spend my time improving Awesome. |
***@***.***>view it on GitHubasey22357
;);)ᓚᘏᗢಥ_ಥ\
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From: Casey22357 ***@***.***>
Sent: Friday, ***@***.***/published/2/MTc4NjIxMzMxMzgxNzg2Mudr3uEWFs_wyHWFy9KdhDMGbHAN6wx441r4te71QvlPL-pmYay3xXn3ofzVUB7Gm2sUa0eulSGoMLdzrHTXxMc January 31, 2025 9:37 PM
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Subject: Re: ***@***.***/awesome] add Mechanistic Interpretability for LMs under Machine Learning (PR #3344)
@Casey22357 approved this pull request.
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I recommend you to start with integrating awesome lint CI and check the guidelines one by one.
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Yes absolutely |
I noticed that your list doesn't fully adhere to the guidelines, and it was difficult to even navigate to the list itself. To make things easier, you should follow the contribution guide starting from this PR Template these guidelines will make the process smoother and more consistent. While there are several inconsistencies in your list, I'd like to point out a few to help get you started: The title should be in title case, and the URL to the list should end in #readme. The Table of Contents should be the first section and should only have one level of nested lists. The description should be short, clear, and focus on the theme rather than the list itself. Also, ensure that you add a license section, a contributing guide, and a project logo if possible. Lastly, remember to include the Awesome badge in the correct position and ensure that all entries have consistent formatting. |
URL to the list here
a fresh and useful list as stated in the commit message