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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 2398
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    Explanations

    references to printing or prints, such as in the context of documents, blueprints, or publications

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "print" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asio
    -0.77
    azel
    -0.77
    agan
    -0.69
    akia
    -0.68
     axes
    -0.66
     Galile
    -0.66
    essel
    -0.65
     Alban
    -0.62
     wrestle
    -0.62
    autical
    -0.62
    POSITIVE LOGITS
    print
    1.03
    DragonMagazine
    0.97
    hyde
    0.93
    rint
    0.91
    prints
    0.90
    ertodd
    0.84
    itiveness
    0.83
    ing
    0.81
    gments
    0.78
    letters
    0.76
    Activations Density 0.013%

    No Known Activations