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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. 12811
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    Explanations

    references to tracks in the context of sports and events

    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
    167
    +0.10
    0.5%
    438
    +0.09
    0.4%
    596
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    438
    +0.10
    0.02
    325
    +0.09
    0.02
    575
    +0.09
    0.02
    Negative Logits
     pand
    -0.78
     Krug
    -0.64
     Brav
    -0.61
    ately
    -0.61
    LY
    -0.60
    urt
    -0.59
     bold
    -0.58
     Saga
    -0.57
    ylum
    -0.57
    vernment
    -0.55
    POSITIVE LOGITS
    suit
    1.27
    suits
    1.07
    track
    1.01
    record
    1.00
    pad
    1.00
    tracks
    1.00
    ball
    0.99
    balls
    0.97
    runner
    0.97
    side
    0.91
    Activations Density 0.020%

    No Known Activations