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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. 6065
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    Explanations

    words related to soccer or football clubs and players, particularly focusing on teams like Bayern Munich and Borussia Dortmund

    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
    481
    +0.15
    0.7%
    447
    +0.13
    0.6%
    288
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.15
    0.02
    326
    +0.13
    0.02
    146
    +0.11
    0.02
    Negative Logits
    lear
    -0.75
    owder
    -0.73
    ntax
    -0.69
    rieve
    -0.68
    motion
    -0.67
    bian
    -0.66
     Archie
    -0.66
    wright
    -0.64
    ording
    -0.64
     rele
    -0.64
    POSITIVE LOGITS
     Munich
    1.53
     Mü
    1.33
     Bundesliga
    1.05
     Bav
    0.97
     Dortmund
    0.96
    liga
    0.94
     Gö
    0.85
    stadt
    0.85
    ÃĽ
    0.85
     Bayern
    0.84
    Activations Density 0.043%

    No Known Activations