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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. 4-RES-JB
    11. 24165
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    INDEX
    Explanations

    structured data related to various categories like athletes, games, or television shows

    oai_token-act-pair · gpt-3.5-turbo

    structured data and numerical information in various contexts

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

    No Comments

    Negative Logits
    lez
    -0.75
    uchs
    -0.73
    )</
    -0.72
    ideon
    -0.71
    otropic
    -0.69
    nai
    -0.69
    pillar
    -0.67
    Fel
    -0.67
    yrinth
    -0.67
    iband
    -0.66
    POSITIVE LOGITS
     ($)
    0.82
     Ranking
    0.82
    verages
    0.79
     ratings
    0.79
     Actual
    0.77
     squared
    0.72
     ratio
    0.72
     Values
    0.71
     Ratings
    0.70
     indu
    0.69
    Activations Density 0.351%

    No Known Activations