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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. 12509
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    Explanations

    words related to the production and characteristics of a specific type of beer made from maple sap, as well as specific names related to the process

    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
    481
    +0.12
    0.5%
    288
    +0.09
    0.4%
    163
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.12
    0.07
    326
    +0.09
    0.05
    652
    +0.09
    0.04
    Negative Logits
    ighed
    -0.82
    Critical
    -0.81
    Effective
    -0.80
    Ô
    -0.80
    effective
    -0.77
    unal
    -0.77
    Lev
    -0.76
    Interstitial
    -0.75
    Administ
    -0.75
    Limited
    -0.73
    POSITIVE LOGITS
     kit
    0.89
     kits
    0.87
     bike
    0.85
     themed
    0.85
     tower
    0.84
     hips
    0.80
     mound
    0.79
     bikes
    0.79
     powder
    0.78
     sod
    0.78
    Activations Density 0.337%

    No Known Activations