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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. 15384
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    Explanations

    instances of losing or defeat in sports contexts

    oai_token-act-pair · gpt-3.5-turbo
    Triggered 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
    Neuron Alignment
    Index
    Value
    % of L₁
    241
    +0.11
    0.5%
    319
    +0.11
    0.5%
    177
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    750
    +0.11
    0.03
    188
    +0.11
    0.03
    241
    +0.10
    0.02
    Negative Logits
    tan
    -0.94
    azon
    -0.71
    enegger
    -0.70
    NVIDIA
    -0.69
    ridges
    -0.68
    onomic
    -0.67
    rity
    -0.67
    osi
    -0.65
    vec
    -0.65
    amen
    -0.64
    POSITIVE LOGITS
     miser
    1.01
     streaks
    0.82
     horribly
    0.78
     streak
    0.78
     decisively
    0.75
     slog
    0.72
     relegation
    0.69
     :(
    0.69
     playoff
    0.69
     fought
    0.68
    Activations Density 0.056%

    No Known Activations