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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. 7705
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    INDEX
    Explanations

    mentions of standout or strong performances in sports-related contexts

    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
    447
    +0.17
    0.8%
    540
    +0.12
    0.6%
    761
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    540
    +0.17
    0.07
    668
    +0.12
    0.04
    42
    +0.10
    0.05
    Negative Logits
    abus
    -0.69
     jurisd
    -0.63
    ocol
    -0.63
     labyrinth
    -0.62
    osal
    -0.61
    agine
    -0.61
    reement
    -0.60
     jurisdiction
    -0.59
     licenses
    -0.59
     bindings
    -0.59
    POSITIVE LOGITS
     offensively
    1.18
     defensively
    1.01
     performances
    0.97
     athlet
    0.94
     lately
    0.90
     throughout
    0.90
     Rookie
    0.87
     tonight
    0.87
     scoring
    0.86
     outings
    0.83
    Activations Density 0.290%

    No Known Activations