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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. 9-RES-JB
    6. 2326
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    Explanations

    European countries

    oai_token-act-pair · gpt-3.5-turbo

    names of countries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ritz
    -0.80
    itiveness
    -0.76
    ynes
    -0.72
    owe
    -0.72
    umatic
    -0.71
    assault
    -0.71
    rium
    -0.71
    MpServer
    -0.69
    hend
    -0.68
    ricks
    -0.68
    POSITIVE LOGITS
     Kazakhstan
    0.98
     Ivory
    0.97
     Guam
    0.95
     Latvia
    0.91
     Monteneg
    0.91
     Guatemala
    0.90
     Bahamas
    0.87
     Maurit
    0.87
     Samoa
    0.86
     Monaco
    0.86
    Activations Density 0.066%

    No Known Activations