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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. 6-RES-JB
    6. 21791
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    Explanations

    terms related to regulations and authoritative bodies, specifically related to alcohol, tobacco, trade, and health

    oai_token-act-pair · gpt-3.5-turbo

    textual delimiters, indicating the start and end of documents or sections

    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
    soDeliveryDate
    -0.69
    士
    -0.68
    interstitial
    -0.64
    square
    -0.61
    merce
    -0.60
    isSpecialOrderable
    -0.59
    stanbul
    -0.59
     acad
    -0.58
    æĸ¹
    -0.57
    çİĭ
    -0.57
    POSITIVE LOGITS
     Intake
    0.64
     Spa
    0.62
     Ther
    0.60
     Awareness
    0.59
    tto
    0.57
     bodily
    0.56
    ãĥĺ
    0.56
     Sheen
    0.54
     Sierra
    0.54
     stim
    0.54
    Activations Density 1.229%

    No Known Activations