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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. 19841
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    Explanations

    words related to negative or harmful situations, such as addiction, poverty, conflict, and controversy

    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
    453
    +0.12
    0.6%
    326
    +0.11
    0.5%
    71
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    453
    +0.12
    0.04
    271
    +0.11
    0.02
    655
    +0.09
    0.03
    Negative Logits
    ovember
    -0.89
    ourced
    -0.89
    amura
    -0.86
    mberg
    -0.84
    ablished
    -0.81
    brance
    -0.78
    ablish
    -0.78
    imester
    -0.76
    regon
    -0.76
    inoa
    -0.76
    POSITIVE LOGITS
     predators
    0.98
     vicious
    0.91
     predator
    0.91
     glare
    0.90
     beasts
    0.88
     scourge
    0.88
    ly
    0.87
     beast
    0.87
     serpent
    0.86
     grin
    0.85
    Activations Density 0.092%

    No Known Activations