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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. 4720
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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
    erella
    -0.74
    itiz
    -0.67
     Nope
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    Serv
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    uler
    -0.64
    ipeg
    -0.63
     Veter
    -0.62
     stead
    -0.62
    Bel
    -0.61
    dayName
    -0.61
    POSITIVE LOGITS
     Rivera
    0.70
    rica
    0.69
    isconsin
    0.68
    java
    0.66
     Fields
    0.62
    aez
    0.61
    guns
    0.61
    urat
    0.60
    icia
    0.60
    ARC
    0.60
    Activations Density 0.000%

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