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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. 1466
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    Explanations

    phrases related to sports, particularly football (NFL) players for home teams or personal stories, as well as terms concerning technological products

    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
    741
    +0.10
    0.4%
    555
    +0.10
    0.4%
    725
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    526
    +0.10
    -0.00
    362
    +0.10
    0.05
    608
    +0.09
    0.06
    Negative Logits
    .?
    -0.82
    .",
    -0.81
    ?",
    -0.75
    âĢ¦..
    -0.69
    estine
    -0.67
    âĢ¦."
    -0.67
    .....
    -0.67
    .,"
    -0.66
    ",
    -0.65
    âĢ¦.
    -0.61
    POSITIVE LOGITS
    ãĥĩãĤ£
    0.62
    ãĥ¥
    0.62
     nods
    0.60
     unwitting
    0.58
     nod
    0.58
     winds
    0.57
    itudinal
    0.56
    ãĥīãĥ©
    0.55
     cue
    0.55
     intervals
    0.54
    Activations Density 0.659%

    No Known Activations