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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11486
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
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    -0.85
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    rals
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     Visitors
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     handwriting
    -0.67
    rase
    -0.67
    imming
    -0.66
     Chiefs
    -0.65
    papers
    -0.64
    POSITIVE LOGITS
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    å¾
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    ÙIJ
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    çĦ
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    0.72
    EMP
    0.72
    WARD
    0.71
    ãĤ¡
    0.71
    SPEC
    0.70
    Activations Density 0.000%

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