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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. 19929
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    Explanations

    mentions of chefs and restaurants, especially in relation to food and cuisine

    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
    670
    +0.11
    0.5%
    172
    +0.11
    0.5%
    430
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    537
    +0.11
    0.02
    288
    +0.11
    0.02
    575
    +0.10
    0.02
    Negative Logits
     Compact
    -0.67
     Fein
    -0.65
     Dob
    -0.64
     Telecommunications
    -0.63
     Wink
    -0.63
     EPS
    -0.62
     Surface
    -0.62
     Gry
    -0.61
     XT
    -0.61
     Controls
    -0.61
    POSITIVE LOGITS
     chefs
    1.27
    isine
    1.21
     chef
    1.14
     restaurants
    1.14
     culinary
    1.03
     restaurant
    1.02
     cuisine
    0.99
     eater
    0.98
     Restaur
    0.95
     kitchens
    0.91
    Activations Density 0.049%

    No Known Activations