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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 2804
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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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    soDeliveryDate
    -0.77
    abilia
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     payable
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    inois
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    mercial
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    uania
    -0.63
    TION
    -0.63
    ancies
    -0.62
    gradation
    -0.62
    ihar
    -0.61
    POSITIVE LOGITS
    éĹĺ
    0.81
    ggles
    0.69
     Pinball
    0.67
     Infinity
    0.67
     Maker
    0.65
    EStream
    0.64
     Speed
    0.64
    berman
    0.63
    pload
    0.62
     Sins
    0.62
    Activations Density 0.000%

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