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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. 3682
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    Explanations

    instances of numbers within text

    oai_token-act-pair · gpt-3.5-turbo

    connections or associations between groups or entities

    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
    ";
    -0.73
    +.
    -0.70
    ".
    -0.69
    '';
    -0.65
     ".
    -0.62
     ."
    -0.59
     ducks
    -0.59
    .",
    -0.59
     steril
    -0.59
    "...
    -0.59
    POSITIVE LOGITS
    withstanding
    0.78
    20439
    0.77
    actionDate
    0.76
    Downloadha
    0.72
    -)
    0.71
     Marketable
    0.71
    ãĥķãĤ¡
    0.69
    ãĥ©ãĥ³
    0.67
    orsche
    0.67
    ãĥ¤
    0.66
    Activations Density 0.380%

    No Known Activations