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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. 1-RES-JB
    6. 15225
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    rone
    -0.74
    iverse
    -0.69
    iyah
    -0.67
    actionDate
    -0.66
    ola
    -0.65
    oil
    -0.65
    URRENT
    -0.64
     [/
    -0.64
    olin
    -0.63
    cation
    -0.62
    POSITIVE LOGITS
     Berks
    0.82
    hma
    0.76
     reins
    0.70
    rily
    0.69
    rosse
    0.68
     levers
    0.64
     lever
    0.64
     Rober
    0.63
    imore
    0.63
     penny
    0.62
    Activations Density 0.000%

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