Package Health Score

75 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Active

Popularity

Limited

GitHub Stars: 484
Forks: 127
Contributors: 50

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package sae-lens, we found that it has been starred 484 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 15, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 24
Open PR: 7
Last Release: 7 days ago
Last Commit: 28 days ago

Further analysis of the maintenance status of sae-lens based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that sae-lens demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 50
Funding: No

With more than 10 contributors for the sae-lens repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like sae-lens is missing a Code of Conduct.

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Package

Python Versions Compatibility: <4.0,>=3.10

Age: 9 months
Latest Release: 7 days ago
Dependencies: 0 Direct
Versions: 113
Maintainers: 0
Wheels: OS Independent

Readme

SAE Lens

SAELens exists to help researchers:

Train sparse autoencoders.
Analyse sparse autoencoders / research mechanistic interpretability.
Generate insights which make it easier to create safe and aligned AI systems.

Please refer to the documentation for information on how to:

Download and Analyse pre-trained sparse autoencoders.
Train your own sparse autoencoders.
Generate feature dashboards with the SAE-Vis Library.

SAE Lens is the result of many contributors working collectively to improve humanity's understanding of neural networks, many of whom are motivated by a desire to safeguard humanity from risks posed by artificial intelligence.

This library is maintained by Joseph Bloom and David Chanin.

Loading Pre-trained SAEs.

Pre-trained SAEs for various models can be imported via SAE Lens. See this page in the readme for a list of all SAEs.

Tutorials

Join the Slack!

Feel free to join the Open Source Mechanistic Interpretability Slack for support!

Citation

Please cite the package as follows:

@misc{bloom2024saetrainingcodebase,
   title = {SAELens},
   author = {Joseph Bloom, Curt Tigges and David Chanin},
   year = {2024},
   howpublished = {\url{https://github.com/jbloomAus/SAELens}},
}

FAQs

What is sae-lens?

Training and Analyzing Sparse Autoencoders (SAEs). Visit Snyk Advisor to see a full health score report for sae-lens, including popularity, security, maintenance & community analysis.

Is sae-lens popular?

We’re still processing downloads data for the python package sae-lens. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is sae-lens well maintained?

We found that sae-lens demonstrated a healthy version release cadence and project activity. It has a community of 50 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is sae-lens safe to use?

The python package sae-lens was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 21 December-2024, at 22:54 (UTC).

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sae-lens

Training and Analyzing Sparse Autoencoders (SAEs) For more information about how to use this package see README

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Package Health Score

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Maintenance

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Community

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Package

Readme

SAE Lens

Loading Pre-trained SAEs.

Tutorials

Join the Slack!

Citation

FAQs

What is sae-lens?

Is sae-lens popular?

Is sae-lens well maintained?

Is sae-lens safe to use?

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Fix identified vulnerabilities

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Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

SAE Lens

Loading Pre-trained SAEs.

Tutorials

Join the Slack!

Citation

FAQs

What is sae-lens?

Is sae-lens popular?

Is sae-lens well maintained?

Is sae-lens safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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