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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. 12851
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    Explanations

    references to sharp objects or violent actions, specifically involving knives

    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
    473
    +0.11
    0.5%
    346
    +0.11
    0.5%
    201
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    473
    +0.11
    0.01
    633
    +0.11
    0.01
    258
    +0.10
    0.02
    Negative Logits
    mberg
    -0.88
     Gutenberg
    -0.81
    rian
    -0.80
    rians
    -0.78
    phas
    -0.76
    tainment
    -0.72
    auga
    -0.70
    ICAN
    -0.68
     Emin
    -0.68
    ICLE
    -0.67
    POSITIVE LOGITS
     scissors
    1.10
     blade
    1.04
     knife
    1.04
     knives
    1.04
     blades
    1.03
    knife
    1.01
     wielded
    0.90
     wielding
    0.90
    edge
    0.90
     claws
    0.90
    Activations Density 0.031%

    No Known Activations