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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. 6-RES-JB
    6. 2802
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    Explanations

    C++ code snippets with the `std::` namespace being referenced

    oai_token-act-pair · gpt-3.5-turbo

    programming language syntax elements related to the Standard Template Library (STL) in C++

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iage
    -0.89
    ulatory
    -0.81
    quished
    -0.77
    issance
    -0.77
    ulators
    -0.75
    jri
    -0.72
    enthal
    -0.72
    iator
    -0.71
    unci
    -0.69
     indo
    -0.69
    POSITIVE LOGITS
    operator
    0.82
    NL
    0.81
    Simple
    0.81
    Parameters
    0.81
    temp
    0.81
    ãĥĵ
    0.74
    Liter
    0.73
    ãĤ·
    0.72
    natural
    0.72
    wcsstore
    0.72
    Activations Density 0.012%

    No Known Activations