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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. 0-RES-JB
    11. 640
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

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     Applicant
    -0.67
     Reid
    -0.62
    cgi
    -0.61
     efforts
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     billing
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    -0.60
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    -0.60
     opportunity
    -0.59
    FactoryReloaded
    -0.58
    DEV
    -0.58
    POSITIVE LOGITS
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    0.90
    cu
    0.73
    uras
    0.72
    orio
    0.69
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    0.69
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    0.68
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    0.68
    toe
    0.67
    ambo
    0.67
    irtual
    0.66
    Activations Density 0.000%

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