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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. 10896
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    Explanations

    proper nouns and names, particularly focusing on specific names like "Mona," "John Maeda," and "Melissa."

    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
    659
    +0.11
    0.5%
    526
    +0.10
    0.5%
    7
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    659
    +0.11
    0.04
    326
    +0.10
    0.03
    406
    +0.10
    0.03
    Negative Logits
    livious
    -0.94
    rified
    -0.85
    matically
    -0.81
    lake
    -0.79
    matic
    -0.76
    liners
    -0.73
    dinand
    -0.72
    rations
    -0.72
    mie
    -0.71
    ty
    -0.71
    POSITIVE LOGITS
    issance
    1.47
     Devi
    0.89
    isance
    0.85
    uthor
    0.83
    vironment
    0.74
     Mae
    0.73
    emon
    0.72
    akra
    0.72
     Vista
    0.71
    velength
    0.70
    Activations Density 0.096%

    No Known Activations