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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. 20604
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    Explanations

    profession related terms, specifically related to various roles like patent examiner, mill worker, cabinet maker, and draftsman

    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
    87
    +0.15
    0.7%
    314
    +0.12
    0.6%
    459
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.15
    0.07
    575
    +0.12
    0.05
    459
    +0.11
    0.04
    Negative Logits
    doms
    -0.77
    votes
    -0.65
     Puzzles
    -0.63
     Trident
    -0.63
     Attacks
    -0.63
    ï¸
    -0.62
     iPads
    -0.61
    isms
    -0.60
     Zot
    -0.60
     Ammunition
    -0.59
    POSITIVE LOGITS
     practitioner
    1.04
     campaigner
    1.03
     performer
    1.03
     lover
    1.01
     consultant
    1.00
     counselor
    0.99
     enthusiast
    0.99
     dancer
    0.97
     specialist
    0.95
    ographer
    0.94
    Activations Density 0.401%

    No Known Activations