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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 4717
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    Explanations

    references to scientific journals and research studies, specifically mentioning the journal PLoS ONE

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to scientific journals and publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    yang
    -0.71
    theless
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    sburg
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     dime
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     veins
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     seasonal
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    ãħĭ
    -0.55
     Turner
    -0.54
    kun
    -0.53
    icago
    -0.53
    POSITIVE LOGITS
     CODE
    0.74
     Cipher
    0.73
     Med
    0.72
     Investors
    0.69
    ãĥŃ
    0.68
    IVERS
    0.64
    IRT
    0.62
    cod
    0.59
    groups
    0.59
     AUTHOR
    0.57
    Activations Density 0.352%

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