chess_llm_interpretability
Visualizing the internal board state of a GPT trained on chess PGN strings, and performing interventions on its internal board state and representation of player Elo. (by adamkarvonen)
llm_steer-oobabooga
Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vectors, now in oobabooga text generation webui! (by Hellisotherpeople)
chess_llm_interpretability | llm_steer-oobabooga | |
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3 | 4 | |
162 | 29 | |
- | - | |
9.6 | 6.6 | |
5 days ago | about 2 months ago | |
Jupyter Notebook | Python | |
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
chess_llm_interpretability
Posts with mentions or reviews of chess_llm_interpretability.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-25.
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Manipulating the Internal World Model of a Chess Playing Language Model
The code for this is located here: https://github.com/adamkarvonen/chess_llm_interpretability
- Chess-GPT's Internal World Model
llm_steer-oobabooga
Posts with mentions or reviews of llm_steer-oobabooga.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-01.
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Ask HN: What is the current (Apr. 2024) gold standard of running an LLM locally?
I agree with you re:extensions. I know something of the extension ecosystem for it - I built one - https://github.com/Hellisotherpeople/llm_steer-oobabooga
Oobabooga the closest thing we have to maximalism. It has exposure for by far the largest number of parameters/settings/backends compared to all others.
My main point is that the world yearns for a proper "Photoshop for text" - and no one has even tried to make this (closest is oobabooga). All VC backed competitors are not even close to the mark on what they should be doing here.
- Sterring vectors for LLMs, now in the largest open source webUI
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Manipulating the Internal World Model of a Chess Playing Language Model
All of the related work, such as activation/representation engineering, and control/steering vectors is also really neat!
You can play with steering vectors within oobabooga now: https://github.com/Hellisotherpeople/llm_steer-oobabooga
- Steering vectors, now available in the largest open source LLM webUI