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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. 5007
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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
    tube
    -0.75
     Maul
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    FY
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     Squid
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    fork
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    ãĥ©ãĥ³
    -0.70
    bear
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    sta
    -0.69
     Lent
    -0.69
    pread
    -0.68
    POSITIVE LOGITS
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    oyd
    0.64
    atform
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    awks
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    onential
    0.63
    raits
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    0.63
    emale
    0.62
    wagen
    0.62
    uters
    0.62
    Activations Density 0.000%

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