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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. 10324
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    Explanations

    specific phrases enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quotations or dialogue marks in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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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    Negative Logits
     challeng
    -0.69
    mitter
    -0.65
    jection
    -0.64
    mates
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     describ
    -0.63
     puberty
    -0.62
    apon
    -0.61
    İĭ
    -0.58
     rank
    -0.58
    ments
    -0.58
    POSITIVE LOGITS
    /"
    0.94
     />
    0.75
    kered
    0.74
    Stud
    0.74
    Elsa
    0.73
    Minecraft
    0.70
     ["
    0.70
    mund
    0.70
    >>\
    0.69
    é¾į
    0.69
    Activations Density 0.066%

    No Known Activations