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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. 483
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    INDEX
    Explanations
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    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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    No Comments

    Negative Logits
     tricks
    -0.73
    emouth
    -0.68
    Interstitial
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    FactoryReloaded
    -0.67
    alties
    -0.67
    "]=>
    -0.66
     glands
    -0.66
    GM
    -0.65
    EStreamFrame
    -0.65
     Telesc
    -0.65
    POSITIVE LOGITS
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    witz
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    etsy
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    iour
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    è£ħ
    0.66
    chester
    0.66
    oday
    0.65
    ibur
    0.64
    д
    0.63
    assador
    0.63
    Activations Density 0.000%

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