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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. 1-RES-JB
    11. 15664
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    Explanations

    names of specific entities, especially those related to people like "Vivien" and "Aguero"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Viv" and variations of the name "Agu" and "Yor"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.89
     distinguishing
    -0.69
    opathic
    -0.63
     unregulated
    -0.63
     Libertarian
    -0.62
     spare
    -0.61
     discipl
    -0.61
     manure
    -0.61
    pmwiki
    -0.60
     railroad
    -0.60
    POSITIVE LOGITS
     Viv
    1.30
    ienne
    1.17
    iane
    1.15
    itar
    1.07
    itized
    0.98
    aldi
    0.97
    izon
    0.95
    isions
    0.93
    ãĤ©
    0.87
    ivable
    0.86
    Activations Density 0.008%

    No Known Activations