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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. 2-RES-JB
    6. 8789
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Paper
    -0.73
    ãĥª
    -0.69
    Rocket
    -0.68
    OME
    -0.67
    Jen
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    ãĤŃ
    -0.66
    unn
    -0.65
    Pain
    -0.64
    ãĥĻ
    -0.64
    Grab
    -0.64
    POSITIVE LOGITS
    hovah
    0.70
    ggle
    0.68
    cellence
    0.68
    jri
    0.66
    umenthal
    0.65
    erate
    0.65
     diversity
    0.65
     antitrust
    0.64
     MSG
    0.64
    mbuds
    0.64
    Activations Density 0.000%

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    This feature has no known activations.