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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. 10385
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    INDEX
    Explanations

    references to statistics and achievements in sports, specifically focusing on rushing or running plays

    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
    505
    +0.10
    0.5%
    216
    +0.10
    0.5%
    339
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    505
    +0.10
    0.03
    761
    +0.10
    0.02
    686
    +0.10
    0.02
    Negative Logits
    heit
    -0.86
    ighed
    -0.84
    clerosis
    -0.79
    naires
    -0.78
    hap
    -0.77
    enegger
    -0.76
    idon
    -0.76
    ombat
    -0.75
    IFIED
    -0.73
    bart
    -0.73
    POSITIVE LOGITS
     prowess
    1.21
     ability
    0.97
     depth
    0.96
     excellence
    0.92
     efficiency
    0.91
     coach
    0.90
     capability
    0.90
     duo
    0.89
     brilliance
    0.88
     streak
    0.88
    Activations Density 0.044%

    No Known Activations