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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. 1-RES-JB
    11. 21642
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    iard
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    hma
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    agen
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    metics
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    ivot
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    à¥
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    iva
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    irtual
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    tain
    -0.69
    igan
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    POSITIVE LOGITS
    ij士
    0.73
     extras
    0.66
    serving
    0.62
    ————————
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     retreating
    0.60
     underdog
    0.58
    algia
    0.57
     preference
    0.56
     stuffing
    0.56
     wonderful
    0.56
    Activations Density 0.000%

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