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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. 4-RES-JB
    6. 12983
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     repe
    -0.71
    define
    -0.69
     acqu
    -0.68
    76561
    -0.67
     arri
    -0.67
    ãģ®é
    -0.66
     reven
    -0.65
    ãĤ´ãĥ³
    -0.64
    wards
    -0.64
    faced
    -0.63
    POSITIVE LOGITS
    tsky
    0.66
    OUNT
    0.65
    illary
    0.64
    ulnerability
    0.64
    orescence
    0.63
     cushion
    0.63
     Trends
    0.62
    undown
    0.61
    pots
    0.61
     infectious
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.