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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. 772
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    Explanations

    the specific name "Ko" with various numerical ratings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Ko"

    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
     Creed
    -0.79
    ingham
    -0.74
    senal
    -0.70
    Interstitial
    -0.66
     Defin
    -0.66
     Redux
    -0.65
     narrator
    -0.63
    天
    -0.63
    nces
    -0.63
     à¨
    -0.62
    POSITIVE LOGITS
    osta
    1.04
    zzi
    1.03
    essler
    0.97
    eln
    0.95
    Å¡
    0.94
    unin
    0.94
    zy
    0.94
    lyak
    0.93
    etter
    0.93
    ogle
    0.89
    Activations Density 0.035%

    No Known Activations