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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. 9660
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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
    CHAT
    -0.93
    rush
    -0.72
    oslav
    -0.71
    HUD
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    UM
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    REAM
    -0.70
    moon
    -0.70
    LAN
    -0.70
    BUG
    -0.69
    WARN
    -0.68
    POSITIVE LOGITS
    ãĥ¼ãĤ¯
    0.71
    ãĤ®
    0.66
    ãĥ´ãĤ¡
    0.66
    ãĥĺãĥ©
    0.64
    893
    0.62
    é¾į
    0.61
    eval
    0.61
    ãĥł
    0.60
     Nicola
    0.60
     horizont
    0.60
    Activations Density 0.000%

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