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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. 7559
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    Explanations

    programming-related terms and code snippets

    oai_token-act-pair · gpt-3.5-turbo

    references 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 @ 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
    esville
    -0.88
    staking
    -0.86
    cles
    -0.78
    osponsors
    -0.77
    theless
    -0.75
    lain
    -0.74
    igne
    -0.71
    ulia
    -0.71
    frey
    -0.68
    daq
    -0.67
    POSITIVE LOGITS
     std
    0.82
    ystem
    0.77
    ++
    0.75
    std
    0.75
     cout
    0.73
    ::
    0.72
    odox
    0.72
     STL
    0.71
    icial
    0.70
    pport
    0.68
    Activations Density 0.036%

    No Known Activations