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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. 9580
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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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    Negative Logits
    gio
    -0.69
     improv
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     Bourbon
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    anian
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    fm
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    amon
    -0.61
     Lerner
    -0.61
     Amend
    -0.59
    endment
    -0.59
     1933
    -0.59
    POSITIVE LOGITS
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    1.15
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    0.92
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    0.90
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    0.88
    Ń·
    0.80
    ãĤ¤
    0.74
    ãĥ³ãĤ¸
    0.74
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    0.74
    ãĤ¨ãĥ«
    0.72
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    0.72
    Activations Density 0.000%

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