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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. 2-RES-JB
    6. 11140
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    INDEX
    Explanations

    mentions of awards or honors

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of medals and awards

    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
    rene
    -0.76
    Sax
    -0.71
    BP
    -0.66
    ebook
    -0.66
    iannopoulos
    -0.65
    Gi
    -0.63
    smoking
    -0.62
    tur
    -0.62
    tty
    -0.60
    minist
    -0.60
    POSITIVE LOGITS
     Medal
    1.14
    inals
    0.88
     Medals
    0.87
    ographs
    0.83
    inal
    0.82
    ograph
    0.79
     Camera
    0.79
    ophon
    0.78
     Award
    0.77
    itech
    0.77
    Activations Density 0.005%

    No Known Activations