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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. 7702
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    INDEX
    Explanations

    numbers denoting quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with various significant events or statistics

    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
    ramid
    -0.82
    urus
    -0.74
    amaru
    -0.68
    feature
    -0.67
    imaru
    -0.65
    agame
    -0.65
    vati
    -0.64
    folk
    -0.62
    kered
    -0.62
    uras
    -0.62
    POSITIVE LOGITS
    th
    1.07
    00
    1.07
     percent
    0.98
    rd
    0.94
    %
    0.93
     cents
    0.92
     stitches
    0.90
    nd
    0.88
     Deg
    0.88
     Minutes
    0.88
    Activations Density 0.182%

    No Known Activations