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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. 0-RES-JB
    11. 7550
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    INDEX
    Explanations

    names of specific individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    complex and variable cultural references or elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itably
    -0.89
    escription
    -0.85
    irlf
    -0.79
    retty
    -0.79
    ancial
    -0.78
    mercial
    -0.73
    ;;;;;;;;;;;;
    -0.72
    ocument
    -0.72
    ividually
    -0.71
    uilt
    -0.69
    POSITIVE LOGITS
    CLASSIFIED
    1.02
    NetMessage
    0.98
    WAYS
    0.91
     largeDownload
    0.83
    natureconservancy
    0.83
     toile
    0.79
    namese
    0.75
     behavi
    0.74
    SELECT
    0.72
    GoldMagikarp
    0.72
    Activations Density 12.763%

    No Known Activations