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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. 12432
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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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    VK
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    phas
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    ña
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    ulpt
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    ller
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    condition
    -0.64
    ñ
    -0.63
     Thumbnails
    -0.63
    ski
    -0.61
    POSITIVE LOGITS
    onis
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    ibus
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     Zeal
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    heid
    0.63
    Pros
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     Basics
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     Pledge
    0.61
     Oo
    0.61
    herent
    0.60
    VIDIA
    0.60
    Activations Density 0.000%

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