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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. 7-RES-JB
    6. 15911
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    INDEX
    Explanations

    numerical values and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to economics and demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arma
    -0.67
     anonymity
    -0.67
     loft
    -0.64
     stash
    -0.64
     parach
    -0.62
    utations
    -0.61
     spoon
    -0.59
    leans
    -0.58
    orks
    -0.58
    eus
    -0.58
    POSITIVE LOGITS
     compared
    0.86
     whereas
    0.74
    Footnote
    0.74
     versus
    0.73
    .[
    0.70
     apiece
    0.68
    ".[
    0.67
    .(
    0.67
    ."[
    0.67
    bps
    0.65
    Activations Density 0.242%

    No Known Activations