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    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 768
    5. 8-RES_FS768-JB
    6. 288
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    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
    128
    +0.10
    0.5%
    283
    +0.10
    0.5%
    718
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    128
    +0.10
    0.10
    326
    +0.10
    0.13
    659
    +0.09
    0.11
    Negative Logits
    theless
    -0.69
    train
    -0.62
    inventoryQuantity
    -0.60
     exha
    -0.59
    ĺħ
    -0.59
     condem
    -0.58
     lax
    -0.57
    nesota
    -0.56
    wagen
    -0.56
     ment
    -0.56
    POSITIVE LOGITS
    ribute
    1.33
    olerance
    1.27
    ractor
    1.23
    ributes
    1.21
    ARGET
    1.21
    itles
    1.20
    olkien
    1.19
    itled
    1.15
    ournaments
    1.15
    ribut
    1.14
    Activations Density 3.788%

    No Known Activations