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    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 49152
    9. 8-RES_FS49152-JB
    11. 43037
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    Explanations

    terms related to positions in sports, particularly referencing the roles of wide receivers and linebackers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs49152-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_49152
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    49,152
    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
    505
    +0.12
    0.6%
    538
    +0.10
    0.5%
    662
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    505
    +0.12
    0.02
    188
    +0.10
    0.02
    278
    +0.10
    0.02
    Negative Logits
     UNESCO
    -0.77
     Rowling
    -0.72
     Governments
    -0.70
     Bezos
    -0.69
     Canaver
    -0.68
     Idle
    -0.68
     Editorial
    -0.68
    netflix
    -0.67
     Whedon
    -0.67
     Greenpeace
    -0.67
    POSITIVE LOGITS
     linebacker
    1.28
     linebackers
    1.18
     lineback
    1.13
     cornerback
    1.04
     fullback
    1.03
     midfield
    0.98
     infield
    0.96
     winger
    0.94
     defensive
    0.94
     outfield
    0.94
    Activations Density 0.032%

    No Known Activations