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    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 1536
    5. 8-RES_FS1536-JB
    6. 1390
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    Explanations

    phrases related to expressing extremes, particularly in a negative connotation, such as "too much" or "too little."

    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
    55
    +0.12
    0.6%
    132
    +0.11
    0.5%
    513
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    55
    +0.12
    0.08
    132
    +0.11
    0.07
    513
    +0.10
    0.06
    Negative Logits
    craft
    -0.71
    inarily
    -0.68
    76561
    -0.68
    ords
    -0.67
    issance
    -0.66
    hyde
    -0.65
    icipated
    -0.65
    iens
    -0.63
    idia
    -0.61
    riots
    -0.60
    POSITIVE LOGITS
     much
    0.84
     busy
    0.82
     far
    0.78
     afraid
    0.77
     risky
    0.74
    oths
    0.74
     many
    0.74
    ls
    0.74
     tempting
    0.74
     distracting
    0.70
    Activations Density 0.850%

    No Known Activations