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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. 1507
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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
     Terra
    -0.66
     Seoul
    -0.63
     Cannon
    -0.62
     behalf
    -0.62
    stadt
    -0.62
    æ³
    -0.61
    soever
    -0.60
    each
    -0.60
    Pack
    -0.59
    Dest
    -0.58
    POSITIVE LOGITS
    arthy
    0.82
    ptin
    0.76
    enhagen
    0.71
    laus
    0.71
    ensation
    0.71
    xual
    0.70
    insula
    0.70
    natureconservancy
    0.68
    hower
    0.67
    iosis
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.