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    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 24576
    5. 8-RES_FS24576-JB
    6. 3914
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    INDEX
    Explanations

    mentions of things related to lifestyle choices and daily routines

    oai_token-act-pair · gpt-3.5-turbo
    Triggered 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
    Neuron Alignment
    Index
    Value
    % of L₁
    674
    +0.13
    0.6%
    0
    +0.11
    0.5%
    545
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    545
    +0.13
    0.03
    0
    +0.11
    0.03
    683
    +0.11
    0.03
    Negative Logits
    Developer
    -0.77
    Reviewer
    -0.72
    abilities
    -0.72
    ibrary
    -0.68
    chool
    -0.65
    isodes
    -0.65
    ĸļ
    -0.64
    yrs
    -0.64
    notations
    -0.64
    urers
    -0.62
    POSITIVE LOGITS
     soda
    0.90
     gum
    0.89
     wine
    0.88
     champagne
    0.87
     groceries
    0.86
     beer
    0.85
     whisky
    0.85
     cereal
    0.85
    milo
    0.84
     tuna
    0.83
    Activations Density 0.082%

    No Known Activations