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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. 2-RES-JB
    6. 2870
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uyomi
    -0.80
    yout
    -0.78
    enment
    -0.67
    hift
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    ptions
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    mA
    -0.64
     Pastebin
    -0.63
     GOODMAN
    -0.63
     CoC
    -0.63
    ombat
    -0.63
    POSITIVE LOGITS
    akov
    0.65
     Nebula
    0.64
    Availability
    0.63
    ARGET
    0.63
    roit
    0.62
     Meyer
    0.62
    ×Ļ×
    0.61
     Blumenthal
    0.60
     Oslo
    0.60
    ruck
    0.58
    Activations Density 0.000%

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