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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. 10358
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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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    Negative Logits
    Sax
    -0.78
    assad
    -0.77
    DN
    -0.71
    ramer
    -0.67
    GW
    -0.65
    ser
    -0.65
    MD
    -0.65
    PC
    -0.64
    KR
    -0.63
    Season
    -0.62
    POSITIVE LOGITS
     Frie
    0.82
     Nanto
    0.74
     Misty
    0.73
     Enrique
    0.70
    cffff
    0.70
     Fitzgerald
    0.69
     Julio
    0.69
     Gustav
    0.69
     leaps
    0.68
     Melvin
    0.67
    Activations Density 0.000%

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