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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. 11403
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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
     ABE
    -0.79
     defe
    -0.75
     Ens
    -0.69
     Liberties
    -0.67
     Protect
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    ²¾
    -0.65
     Ples
    -0.65
     Flag
    -0.62
    yip
    -0.62
     Bye
    -0.62
    POSITIVE LOGITS
    ums
    0.93
    uum
    0.90
    usha
    0.77
    hea
    0.76
    heit
    0.76
    zes
    0.75
    ractor
    0.73
    rolled
    0.70
    packs
    0.70
    IUM
    0.69
    Activations Density 0.000%

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