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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. 8-RES-JB
    6. 18844
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    Explanations

    unrelated numbers and symbols that seem to not form a coherent pattern or theme

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Courier
    -0.65
    lected
    -0.65
     scrap
    -0.60
    utenant
    -0.59
    itives
    -0.59
     Ideal
    -0.59
     experien
    -0.59
     antit
    -0.58
    utic
    -0.57
     Nano
    -0.57
    POSITIVE LOGITS
    ↵
    0.77
    ̶
    0.73
    shapeshifter
    0.69
    Beta
    0.69
    SPONSORED
    0.65
    OD
    0.65
    ë
    0.64
    ãħĭ
    0.64
    Synopsis
    0.64
    ì
    0.63
    Activations Density 0.126%

    No Known Activations