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    Arnas Uselis Applies Eigenfaces Analysis to SigLIP and DINO

    Shares an 8-second video of principal components from embedding models paired with a decoder.

    AU
    1 Source, 26d ago, first seen 26d ago

    TLDR

    Arnas Uselis posted an 8-second video displaying a 2x2 grid of principal components from embedding models paired with a decoder. Arnas Uselis described applying eigenfaces-style analysis to embedding models including SigLIP and DINO. He claimed that pairing them with a decoder such as an RAE shows what the models primarily care about and what biases the decoder introduces. Uselis noted excitement at seeing how embedding spaces are structured visually and how interventions affect them, for example through SAEs. A linked post by Kosta Derpanis revisits classic eigenfaces visualizations from computer vision research.

    Combined views

    5.6K

    1 Source, first seen 26d ago

    Combined views

    5.6K

    1 Source, first seen 26d ago

    56 likes
    56 likes
    41 saves
    6 reposts

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    41 saves
    6 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @a_uselisOne can also apply eigenfaces-style analysis to embedding models (SigLIP, DINO). Pairing them with a decoder (e.g., an RAE) shows what the models primarily care about and what biases the decoder introduces :) It’s exciting to see how embedding spaces are structured visually (and how interventions affect them e.g. through SAEs)!

    1 Source

    @a_uselisOne can also apply eigenfaces-style analysis to embedding models (SigLIP, DINO). Pairing them with a decoder (e.g., an RAE) shows what the models primarily care about and what biases the decoder introduces :) It’s exciting to see how embedding spaces are structured visually (and how interventions affect them e.g. through SAEs)!