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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. 14968
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    Explanations

    names of sports teams and cities in sports contexts

    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
    447
    +0.16
    0.7%
    159
    +0.14
    0.6%
    715
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    548
    +0.16
    0.04
    146
    +0.14
    0.05
    159
    +0.10
    0.05
    Negative Logits
    umbn
    -0.81
     Twain
    -0.75
    cribed
    -0.70
     Pew
    -0.70
     TED
    -0.68
    advertisement
    -0.68
    actionDate
    -0.67
     Cosponsors
    -0.67
     Zup
    -0.66
    omsky
    -0.66
    POSITIVE LOGITS
     goalkeeper
    1.05
     fans
    0.99
     Athletics
    0.97
     midfield
    0.94
     teammate
    0.90
     overcame
    0.89
     Athletic
    0.88
     trailed
    0.88
     defender
    0.87
     Stadium
    0.87
    Activations Density 0.185%

    No Known Activations