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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. 14886
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    Explanations

    words related to natural disasters, specifically floods and related infrastructure or impacts

    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
    419
    +0.12
    0.5%
    129
    +0.11
    0.5%
    178
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    129
    +0.12
    0.02
    419
    +0.11
    0.02
    147
    +0.10
    0.02
    Negative Logits
    ccording
    -0.81
    cius
    -0.76
    Ģ
    -0.74
    ooth
    -0.72
    ACP
    -0.71
     Lifetime
    -0.68
    resso
    -0.67
    CRIPTION
    -0.67
    atel
    -0.66
     livest
    -0.65
    POSITIVE LOGITS
    waters
    1.27
    plain
    1.05
     Flood
    0.91
     Katrina
    0.91
    water
    0.90
     waters
    0.89
     inund
    0.89
    proof
    0.87
     plains
    0.85
    lights
    0.84
    Activations Density 0.044%

    No Known Activations