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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. 6852
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    INDEX
    Explanations
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    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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     axe
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    -0.66
     Tsukuyomi
    -0.64
    Draft
    -0.63
    icent
    -0.63
     loc
    -0.63
    Lot
    -0.62
    LOCK
    -0.61
    POSITIVE LOGITS
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    ivity
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    istor
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    heter
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    quet
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    inker
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    oche
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    erk
    0.66
    fax
    0.64
     Comfort
    0.63
    Activations Density 0.000%

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