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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. 3-RES-JB
    6. 862
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    INDEX
    Explanations
    No Explanations Found
    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
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    Negative Logits
    ĨĴ
    -0.80
    ĸļ
    -0.67
     species
    -0.67
     exped
    -0.65
     reservation
    -0.65
     inclusive
    -0.64
    NetMessage
    -0.63
    CLASS
    -0.63
    OPLE
    -0.63
    BOX
    -0.62
    POSITIVE LOGITS
    ittens
    0.90
    ernels
    0.79
    oshenko
    0.77
    Downloadha
    0.77
    bral
    0.75
    atos
    0.73
    leigh
    0.72
    iller
    0.71
    hest
    0.71
    ritz
    0.71
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.