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    1. Home
    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 1536
    5. 8-RES_FS1536-JB
    6. 439
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    INDEX
    Explanations

    research-related terms and findings related to food consumption, circadian rhythms, and medical conditions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs1536-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_1536
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    1,536
    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
    255
    +0.10
    0.4%
    239
    +0.10
    0.4%
    686
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    255
    +0.10
    0.09
    239
    +0.10
    0.07
    686
    +0.09
    0.05
    Negative Logits
     Franch
    -0.79
     brim
    -0.78
    Company
    -0.78
     Riy
    -0.76
    soDeliveryDate
    -0.72
     Armageddon
    -0.72
     yours
    -0.71
    gallery
    -0.71
     Garage
    -0.71
    wered
    -0.70
    POSITIVE LOGITS
     biomark
    1.40
     susceptibility
    1.35
     phenotype
    1.33
     âμ
    1.29
     antidepressant
    1.29
     clinically
    1.28
     correlated
    1.27
     endogenous
    1.27
     neuronal
    1.27
     metabolic
    1.26
    Activations Density 3.950%

    No Known Activations