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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. 2637
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    Explanations

    sports-related terms and specifically focuses on elements related to performance in the game, such as player skills, comparisons, and performance evaluations

    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
    +0.14
    0.6%
    288
    +0.11
    0.5%
    192
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    422
    +0.14
    0.03
    564
    +0.11
    0.03
    504
    +0.10
    0.03
    Negative Logits
    oras
    -0.78
    ortium
    -0.74
    IRD
    -0.70
    itarian
    -0.70
    anson
    -0.69
    achus
    -0.68
     Bin
    -0.67
     warr
    -0.66
    sonian
    -0.65
    yip
    -0.65
    POSITIVE LOGITS
    plays
    0.89
    keeper
    0.85
     scoreboard
    0.81
    keepers
    0.81
     podium
    0.80
     coach
    0.76
     sidelines
    0.75
     announcer
    0.75
    waves
    0.75
     antics
    0.74
    Activations Density 0.066%

    No Known Activations