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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. 6453
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    Explanations

    mentions of sports figures and teams in the context of career decisions, retirements, comebacks, and personal choices

    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
    253
    +0.11
    0.5%
    461
    +0.11
    0.5%
    48
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.11
    0.02
    659
    +0.11
    0.02
    645
    +0.10
    0.02
    Negative Logits
    ilty
    -0.80
    icably
    -0.72
    istic
    -0.70
    elled
    -0.68
    ORGE
    -0.67
    cember
    -0.66
    istically
    -0.64
    arde
    -0.63
    clair
    -0.62
    ogie
    -0.62
    POSITIVE LOGITS
    ington
    0.81
    enegger
    0.79
     unfocusedRange
    0.78
    mberg
    0.75
    meier
    0.71
    andowski
    0.71
    PER
    0.69
     redes
    0.69
    hner
    0.69
    aday
    0.68
    Activations Density 0.060%

    No Known Activations