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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. 9511
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    Explanations

    mention of specific individuals involved in tragic events, particularly pertaining to law enforcement and community issues

    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
    199
    +0.10
    0.5%
    481
    +0.10
    0.5%
    386
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.10
    0.07
    346
    +0.10
    0.06
    325
    +0.09
    0.05
    Negative Logits
    ophy
    -0.71
    icultural
    -0.71
    ournal
    -0.70
    ahime
    -0.67
    requires
    -0.66
     Dhabi
    -0.65
    rist
    -0.65
     WCS
    -0.65
    velength
    -0.64
    keyes
    -0.63
    POSITIVE LOGITS
     victims
    0.90
     massacre
    0.87
     Massacre
    0.84
     Incident
    0.82
     shootings
    0.80
     killings
    0.78
     tragedy
    0.78
     fiasco
    0.77
     protests
    0.76
     fallout
    0.76
    Activations Density 0.338%

    No Known Activations