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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. 16044
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    INDEX
    Explanations

    quantitative terms like levels, amounts, doses, and quantities in scientific context

    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
    68
    +0.10
    0.5%
    198
    +0.09
    0.4%
    206
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    225
    +0.10
    0.05
    724
    +0.09
    0.05
    198
    +0.09
    0.04
    Negative Logits
    less
    -0.63
    issance
    -0.62
     descriptor
    -0.59
    ties
    -0.59
    redo
    -0.57
    Delivery
    -0.57
    Assistant
    -0.56
    NING
    -0.56
    Redditor
    -0.56
    shield
    -0.55
    POSITIVE LOGITS
    poons
    1.29
    cale
    1.28
    paces
    1.25
    pace
    1.21
    etting
    1.13
    hip
    1.11
    pring
    1.11
     thereof
    1.10
    hips
    1.07
    hift
    1.00
    Activations Density 0.208%

    No Known Activations