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    1. Home
    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 768
    5. 8-RES_FS768-JB
    6. 176
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs768-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_768
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    768
    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
    151
    +0.10
    0.4%
    665
    +0.09
    0.4%
    70
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    665
    +0.10
    0.12
    70
    +0.09
    0.11
    282
    +0.09
    0.09
    Negative Logits
    head
    -0.74
    dylib
    -0.67
    effect
    -0.63
    thus
    -0.62
    ros
    -0.61
    requisite
    -0.60
    workers
    -0.60
    vation
    -0.60
    resent
    -0.60
    houses
    -0.59
    POSITIVE LOGITS
     unsuccessfully
    1.36
     harder
    0.91
     valiant
    0.88
     desperately
    0.87
    nir
    0.79
    anke
    0.77
     vain
    0.76
     frantically
    0.75
     dism
    0.73
     cram
    0.72
    Activations Density 3.442%

    No Known Activations