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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. 3-RES-JB
    11. 24012
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    Explanations

    mentions of specific names like "Kensington", "Kirsten", "Aki", "Jos", "Lans", and "Yusuke"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scotia
    -0.71
     Cosby
    -0.68
    imester
    -0.64
     Weinstein
    -0.64
    ption
    -0.63
    igion
    -0.62
     McAuliffe
    -0.61
     fertility
    -0.61
     Advertisement
    -0.61
    aneously
    -0.60
    POSITIVE LOGITS
    creen
    1.27
    mares
    1.04
    ington
    0.99
    hiro
    0.93
     Hots
    0.93
    ecake
    0.92
    erver
    0.90
    hots
    0.89
    paces
    0.87
    aido
    0.86
    Activations Density 0.020%

    No Known Activations