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    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 24576
    9. 8-RES_FS24576-JB
    11. 14255
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    INDEX
    Explanations

    phrases related to culinary experiences, such as describing flavors and food preparation methods

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs24576-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_24576
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    355
    +0.10
    0.5%
    394
    +0.10
    0.5%
    749
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    678
    +0.10
    0.03
    362
    +0.10
    0.04
    748
    +0.10
    0.02
    Negative Logits
    KT
    -0.79
     guiIcon
    -0.75
    aligned
    -0.72
    ilater
    -0.72
    align
    -0.71
    boxing
    -0.71
    eele
    -0.69
    duction
    -0.69
    CLASS
    -0.69
    ©¶æ
    -0.68
    POSITIVE LOGITS
     champagne
    1.19
     fumes
    1.16
     liquids
    1.13
     gasoline
    1.11
     vinegar
    1.09
     vodka
    1.08
     adrenaline
    1.08
     wine
    1.08
     water
    1.07
     fluids
    1.05
    Activations Density 0.238%

    No Known Activations