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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5568
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    INDEX
    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    words that contain specific letter patterns or segments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.74
     ancest
    -0.72
     mot
    -0.71
     thous
    -0.69
     commissions
    -0.69
     taxp
    -0.68
    dfx
    -0.65
    scill
    -0.62
     conditional
    -0.62
    prises
    -0.61
    POSITIVE LOGITS
    STD
    0.79
    ella
    0.71
    ierre
    0.71
    atis
    0.70
    lain
    0.68
    oli
    0.68
    illo
    0.67
    agne
    0.67
     Brand
    0.66
    illin
    0.66
    Activations Density 0.245%

    No Known Activations