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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. 6305
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    Explanations

    stats related to football player performance, specifically looking for tackles and sacks

    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
    447
    +0.13
    0.6%
    730
    +0.10
    0.5%
    342
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    698
    +0.13
    0.02
    628
    +0.10
    0.02
    620
    +0.10
    0.01
    Negative Logits
    arde
    -0.73
    MQ
    -0.72
    amate
    -0.70
     âĸº
    -0.68
     champagne
    -0.66
    amic
    -0.66
    Bott
    -0.65
    HTTP
    -0.63
    hend
    -0.62
    ħĭ
    -0.61
    POSITIVE LOGITS
    tackle
    0.90
     linemen
    0.89
     lineman
    0.81
     sacks
    0.75
     rusher
    0.69
    ukong
    0.68
     linebacker
    0.67
     tackles
    0.67
    ments
    0.66
     Tackle
    0.65
    Activations Density 0.049%

    No Known Activations