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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. 3-RES-JB
    11. 23585
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    KEN
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    otom
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    quartered
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     Nickel
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    Home
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    ELD
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     Lank
    -0.63
    ologne
    -0.62
     replaced
    -0.61
    andy
    -0.61
    POSITIVE LOGITS
    uctions
    0.72
    quist
    0.71
    lund
    0.66
    diff
    0.64
    bytes
    0.63
    ues
    0.63
    giving
    0.62
    flows
    0.61
    ayson
    0.60
     toile
    0.60
    Activations Density 0.000%

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