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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. 1406
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    Explanations

    words related to software development, specifically focusing on debugging tools like "Werkzeug"

    oai_token-act-pair · gpt-3.5-turbo

    the presence of programming-related terms or concepts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.66
     bubbles
    -0.65
    lder
    -0.64
     cru
    -0.64
    ------------------------------------------------
    -0.62
     Duc
    -0.62
     CPC
    -0.61
     cryst
    -0.61
    ILA
    -0.58
     Clintons
    -0.58
    POSITIVE LOGITS
    erk
    1.00
    lass
    0.93
    lasses
    0.88
    inese
    0.83
    steen
    0.82
    rum
    0.81
    owl
    0.81
    halla
    0.78
    ers
    0.78
    lein
    0.78
    Activations Density 0.016%

    No Known Activations