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    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 12288
    9. 8-RES_FS12288-JB
    11. 9381
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    Explanations

    words related to efficiency and effectiveness

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs12288-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_12288
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    12,288
    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
    7
    +0.11
    0.5%
    288
    +0.11
    0.5%
    311
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.11
    0.04
    271
    +0.11
    0.03
    255
    +0.10
    0.03
    Negative Logits
    enegger
    -0.92
    ortium
    -0.76
    BuyableInstoreAndOnline
    -0.72
    ker
    -0.72
    bley
    -0.70
    feld
    -0.69
     Falk
    -0.69
    hus
    -0.67
    hak
    -0.65
    jong
    -0.64
    POSITIVE LOGITS
     efficiency
    1.11
    iencies
    1.02
     efficient
    0.93
     optimization
    0.88
     Efficiency
    0.88
     inefficient
    0.88
    efficiency
    0.86
     allocation
    0.86
     utilization
    0.85
    fficient
    0.85
    Activations Density 0.149%

    No Known Activations