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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. 15665
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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
    è¦ļéĨĴ
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    RAW
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    llor
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    "]=>
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     Ging
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    del
    -0.67
    ¶
    -0.67
    Pros
    -0.66
    ¾
    -0.65
    dor
    -0.63
    POSITIVE LOGITS
     therap
    0.81
     mathemat
    0.80
    avement
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     agre
    0.72
     Vegan
    0.65
     fide
    0.64
     Movies
    0.63
     millenn
    0.63
     Souls
    0.63
     challeng
    0.63
    Activations Density 0.000%

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