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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. 14928
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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
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.77
    cknow
    -0.71
     integers
    -0.69
     Ranking
    -0.65
     âĨij
    -0.65
    packing
    -0.64
     Py
    -0.63
     Clicker
    -0.62
     Kazakhstan
    -0.62
    ordinary
    -0.60
    POSITIVE LOGITS
    bush
    0.92
    lich
    0.77
    URA
    0.74
    assian
    0.71
    eller
    0.69
    itta
    0.69
    ULE
    0.65
    bed
    0.65
    VEN
    0.65
    ideshow
    0.64
    Activations Density 0.000%

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