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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. 15168
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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
    Women
    -0.69
    ãĥ³ãĤ¸
    -0.65
     Thou
    -0.64
     Standing
    -0.61
    ��
    -0.60
     Guys
    -0.60
     comprom
    -0.58
     Rost
    -0.57
     Women
    -0.57
    urdue
    -0.55
    POSITIVE LOGITS
    lde
    0.88
    llan
    0.77
    sonian
    0.76
    hall
    0.71
    browser
    0.71
    hari
    0.70
    ilic
    0.70
    node
    0.70
    cade
    0.69
     Lumpur
    0.69
    Activations Density 0.000%

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    This feature has no known activations.