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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. 10835
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    Explanations

    mentions of statistics and performance in sports contexts, specifically highlighting games played, scoring, and performance trends

    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
    430
    +0.13
    0.6%
    410
    +0.11
    0.5%
    279
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    86
    +0.13
    0.06
    546
    +0.11
    0.06
    43
    +0.10
    0.04
    Negative Logits
    insula
    -0.82
    itarian
    -0.80
    opt
    -0.77
    onym
    -0.77
    Enlarge
    -0.74
    ictionary
    -0.73
    ire
    -0.72
    riad
    -0.71
    reprene
    -0.70
    urat
    -0.68
    POSITIVE LOGITS
     scoring
    1.15
     averaging
    1.10
     finishing
    1.08
     teammate
    1.02
     earning
    0.96
     scored
    0.95
     teammates
    0.95
     batting
    0.94
     coached
    0.94
     batted
    0.93
    Activations Density 0.469%

    No Known Activations