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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. 3-RES-JB
    11. 12867
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    INDEX
    Explanations

    references to being dazed or amazed

    oai_token-act-pair · gpt-3.5-turbo

    words related to confusion or disorientation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itia
    -0.73
    ocracy
    -0.73
    BOOK
    -0.70
    itimate
    -0.67
    abor
    -0.67
    leading
    -0.67
    itta
    -0.65
    inen
    -0.64
     appreciated
    -0.62
    PU
    -0.62
    POSITIVE LOGITS
    aughs
    0.79
    jured
    0.77
    ecake
    0.75
    TPPStreamerBot
    0.72
    geoning
    0.72
    idding
    0.69
    issan
    0.68
    sbm
    0.66
    azed
    0.65
    etr
    0.65
    Activations Density 0.020%

    No Known Activations