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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. 9243
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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
    gall
    -0.71
    cellent
    -0.69
     bench
    -0.69
    uristic
    -0.65
     evaluations
    -0.64
    igger
    -0.62
    Trend
    -0.62
    idious
    -0.60
    strous
    -0.58
    Mob
    -0.58
    POSITIVE LOGITS
     Seym
    0.82
    Downloadha
    0.77
    aiden
    0.67
    argon
    0.66
     Directions
    0.64
    thodox
    0.64
     chall
    0.64
     Username
    0.63
    athered
    0.63
     emancipation
    0.62
    Activations Density 0.000%

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