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    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 3072
    9. 8-RES_FS3072-JB
    11. 3056
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    Explanations

    information related to health studies and research, especially regarding the timing of dietary intake and its impact on weight gain and metabolic health

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs3072-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_3072
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    3,072
    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
    726
    +0.12
    0.6%
    356
    +0.11
    0.5%
    57
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    220
    +0.12
    0.07
    343
    +0.11
    0.06
    310
    +0.10
    0.07
    Negative Logits
    ĺħ
    -0.79
    iday
    -0.76
    atical
    -0.73
    acies
    -0.72
    edia
    -0.71
    iard
    -0.70
    atics
    -0.70
    arty
    -0.69
    atism
    -0.69
    ĸļ
    -0.68
    POSITIVE LOGITS
    lihood
    0.85
    ãĤ¤ãĥĪ
    0.77
     Royale
    0.72
    lla
    0.69
    384
    0.68
    chnology
    0.68
    vich
    0.67
    bridge
    0.67
    bourne
    0.65
    lim
    0.65
    Activations Density 1.234%

    No Known Activations