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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. 10-RES-JB
    11. 8592
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    oai_token-act-pair · gpt-3.5-turbo

    programming-related import statements and usage of modules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    iar
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    bringer
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    wagen
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    ingen
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    ocene
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    sylv
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    edited
    -0.63
    keeper
    -0.62
    Aid
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    POSITIVE LOGITS
     namespace
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     System
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     std
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     {
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     ak
    0.76
     React
    0.75
     java
    0.75
    ../
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     Exception
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     Vector
    0.70
    Activations Density 0.030%

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