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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. 9-RES-JB
    6. 11923
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    INDEX
    Explanations

    numeric information related to statistics, quantities, or counts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numbers or statistics in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amaru
    -0.66
     ¯
    -0.62
    Redditor
    -0.61
    FontSize
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     ours
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    feature
    -0.59
     slogan
    -0.59
    elf
    -0.59
     fame
    -0.58
     theirs
    -0.58
    POSITIVE LOGITS
    %
    1.05
     percent
    0.99
     consecutive
    0.88
    th
    0.88
     instances
    0.87
    %,
    0.82
     separate
    0.81
    %-
    0.81
    00
    0.81
    81
    0.80
    Activations Density 0.195%

    No Known Activations