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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. 8-RES-JB
    11. 23781
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    Explanations

    numerical values related to amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and timestamps related to various statistics or releases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.68
    aten
    -0.61
    jen
    -0.61
    unal
    -0.57
     prolet
    -0.57
    bleacher
    -0.57
     Hep
    -0.57
     burgers
    -0.57
    roc
    -0.56
    idding
    -0.56
    POSITIVE LOGITS
    orry
    0.70
    yrinth
    0.67
    uther
    0.66
     Obst
    0.61
    yrim
    0.61
    raint
    0.60
     Vict
    0.59
    Weather
    0.57
    aos
    0.57
    PC
    0.57
    Activations Density 0.255%

    No Known Activations