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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. 437
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    Explanations

    phrases related to environmental and agricultural topics, such as carbon emissions, land use, conservation, and climate change impacts

    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
    288
    +0.12
    0.6%
    460
    +0.12
    0.6%
    99
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.12
    0.25
    325
    +0.12
    0.14
    99
    +0.11
    0.11
    Negative Logits
    iator
    -0.75
     Wong
    -0.71
    colo
    -0.69
    pter
    -0.66
    idious
    -0.63
    iating
    -0.62
    reads
    -0.62
    ISTER
    -0.62
     Pist
    -0.62
    ority
    -0.60
    POSITIVE LOGITS
     vegetation
    1.09
    lands
    1.03
     habitats
    1.00
     soils
    0.99
     habitat
    0.98
     villages
    0.94
    conservancy
    0.93
    forest
    0.93
     biome
    0.92
     barren
    0.89
    Activations Density 4.816%

    No Known Activations