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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. 6-RES-JB
    11. 14739
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    Explanations

    terms related to medical conditions or scientific concepts, especially focusing on pathogens and materials

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pathogens and biological materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pless
    -0.70
    baugh
    -0.69
    angan
    -0.67
    ogh
    -0.67
    aund
    -0.64
     slee
    -0.63
    bledon
    -0.61
    ©¶æ¥µ
    -0.61
    dos
    -0.60
     Dock
    -0.60
    POSITIVE LOGITS
    icity
    0.95
    ically
    0.86
    ry
    0.82
    ially
    0.81
    ery
    0.80
    ishly
    0.80
    oid
    0.80
    oidal
    0.79
    stration
    0.79
     hybrid
    0.78
    Activations Density 0.190%

    No Known Activations