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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. 20161
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    Explanations

    mentions of cities, possibly focusing on sports teams or specific locations

    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
    133
    +0.10
    0.4%
    76
    +0.09
    0.4%
    409
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    547
    +0.10
    0.01
    76
    +0.09
    0.02
    693
    +0.09
    0.02
    Negative Logits
    arial
    -0.84
    icides
    -0.82
    ances
    -0.81
    rity
    -0.78
    wcsstore
    -0.76
    ivia
    -0.75
    rar
    -0.74
    itive
    -0.72
    orders
    -0.72
    oresc
    -0.71
    POSITIVE LOGITS
     skyline
    0.89
    scape
    0.87
     Chiefs
    0.84
     Council
    0.81
     metro
    0.80
     Marathon
    0.80
     Heights
    0.78
     Lumpur
    0.78
     Limits
    0.76
     Mayor
    0.75
    Activations Density 0.027%

    No Known Activations