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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. 4
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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
    •MSE minimising swap

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    102
    +0.17
    0.8%
    55
    +0.16
    0.8%
    566
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    55
    +0.17
    0.31
    102
    +0.16
    0.31
    566
    +0.11
    0.21
    Negative Logits
    know
    -0.65
    inav
    -0.63
     encounters
    -0.62
     wills
    -0.62
    iates
    -0.61
     Moines
    -0.61
     IMAGES
    -0.61
     Telesc
    -0.60
     senses
    -0.60
    sburg
    -0.60
    POSITIVE LOGITS
     supposed
    1.18
     definitely
    1.15
    nt
    1.12
    rael
    1.12
    senal
    1.09
     currently
    1.09
     not
    1.08
     hereby
    1.05
     considered
    1.05
     indeed
    1.05
    Activations Density 3.745%

    No Known Activations