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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
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    Explanations

    dates in the format "MM.DD" or numbers associated with technological updates

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the version numbers of Ubuntu operating system updates

    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
    ocene
    -0.81
     reluct
    -0.75
    olson
    -0.74
     exha
    -0.70
    cube
    -0.69
    everal
    -0.68
    ilitary
    -0.66
     proport
    -0.62
    senal
    -0.62
    isSpecialOrderable
    -0.62
    POSITIVE LOGITS
    00
    0.92
    raction
    0.82
    01
    0.77
    003
    0.76
    004
    0.74
    009
    0.70
    0100
    0.70
     02
    0.70
    inen
    0.69
    ward
    0.68
    Activations Density 0.017%

    No Known Activations