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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

    mentions of the name "Zuma" at varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Zuma."

    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
    neath
    -0.71
    tons
    -0.69
    icles
    -0.69
    ician
    -0.68
     Canadians
    -0.68
    Ö¼
    -0.66
     Kear
    -0.65
    igree
    -0.63
    working
    -0.62
    sheet
    -0.62
    POSITIVE LOGITS
    ppa
    0.99
    uma
    0.97
    BLE
    0.88
    ascus
    0.84
    ULT
    0.81
    UGH
    0.80
    qua
    0.79
    isoft
    0.76
    urs
    0.76
    ffe
    0.73
    Activations Density 0.013%

    No Known Activations