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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 464
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    INDEX
    Explanations

    words related to weight or a significant amount of something

    oai_token-act-pair · gpt-3.5-turbo

    references to a particular character or figure, likely in contexts related to competition or conflict

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewed
    -0.67
     largeDownload
    -0.65
     sidx
    -0.64
    nesota
    -0.64
     reasoned
    -0.62
    drawn
    -0.62
    artifacts
    -0.62
    raints
    -0.62
    */(
    -0.61
    Flag
    -0.61
    POSITIVE LOGITS
    vy
    1.62
    yy
    0.87
    vv
    0.87
    rolet
    0.79
    naire
    0.79
    tsky
    0.78
    eus
    0.77
    olution
    0.76
    yip
    0.75
    uly
    0.75
    Activations Density 0.010%

    No Known Activations