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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. 6-RES-JB
    11. 7790
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    Explanations

    numbers and characters in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and terms related to health conditions or regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.90
    NetMessage
    -0.88
    isters
    -0.80
    icter
    -0.80
    perty
    -0.79
    mits
    -0.79
    ippi
    -0.76
    ysical
    -0.75
    oning
    -0.75
    istine
    -0.72
    POSITIVE LOGITS
    er
    0.75
    ness
    0.74
    ty
    0.72
    ative
    0.72
    ribution
    0.71
    ãĤª
    0.70
    rition
    0.70
    atively
    0.68
    culosis
    0.68
    rage
    0.68
    Activations Density 0.043%

    No Known Activations