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    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 24576
    9. 8-RES_FS24576-JB
    11. 14598
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    Explanations

    sentences indicating strong emotional reactions, particularly tears and sobbing

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs24576-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_24576
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    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
    215
    +0.10
    0.4%
    178
    +0.10
    0.4%
    16
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    178
    +0.10
    0.03
    571
    +0.10
    0.02
    730
    +0.09
    0.02
    Negative Logits
    æ©Ł
    -0.79
    POL
    -0.77
    efficients
    -0.69
    ifestyle
    -0.68
    iversity
    -0.68
    pole
    -0.68
    rank
    -0.67
    ãĥį
    -0.67
     latitude
    -0.66
    WAYS
    -0.65
    POSITIVE LOGITS
     tears
    0.98
     Tears
    0.91
     hyster
    0.90
     uncontroll
    0.88
     cried
    0.88
     weeping
    0.85
     weep
    0.85
     crying
    0.82
     pleas
    0.79
     :(
    0.79
    Activations Density 0.076%

    No Known Activations