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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. 3448
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    Explanations

    numerical lists in the form of advice or guidelines

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to tips and advice

    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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    yss
    -0.68
    Ń·
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    status
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    aos
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    ãĥīãĥ©ãĤ´ãĥ³
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    ebook
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    onel
    -0.63
    ourning
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    ulsion
    -0.63
    POSITIVE LOGITS
     you
    0.92
    hooting
    0.90
     worth
    0.89
     pertaining
    0.84
     beginners
    0.82
     YOU
    0.79
     Helpful
    0.79
     outlining
    0.75
     recommended
    0.75
     why
    0.72
    Activations Density 0.253%

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