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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. 4186
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    Explanations

    names of certain individuals: "Hammond", "Clarkson", and "Harmon"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those named Hammond and their context in various scenarios

    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
    luster
    -0.72
    Magikarp
    -0.71
    asm
    -0.71
    obos
    -0.67
    uary
    -0.66
    ctory
    -0.66
    culosis
    -0.65
    cgi
    -0.65
    externalActionCode
    -0.63
    vironment
    -0.63
    POSITIVE LOGITS
     Hammond
    1.07
    monds
    1.06
    shire
    0.95
    sburg
    0.85
    wich
    0.76
    bean
    0.72
    ding
    0.72
    ajo
    0.72
    elin
    0.71
    pad
    0.69
    Activations Density 0.006%

    No Known Activations