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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. 17186
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    INDEX
    Explanations

    negative physical traits or conditions related to health and food intake

    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
    481
    +0.13
    0.6%
    408
    +0.10
    0.4%
    702
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    669
    +0.13
    0.04
    408
    +0.10
    0.05
    428
    +0.10
    0.04
    Negative Logits
    hemer
    -0.77
    hower
    -0.76
    ioxide
    -0.76
    jam
    -0.75
    former
    -0.73
    ften
    -0.72
    hander
    -0.71
    hemoth
    -0.70
    jen
    -0.70
    acket
    -0.69
    POSITIVE LOGITS
     intentions
    1.23
     ambitions
    1.17
     backgrounds
    1.14
     aspirations
    1.11
     feelings
    1.11
     ties
    1.09
     relationships
    1.07
     qualities
    1.06
     motives
    1.06
     interests
    1.06
    Activations Density 0.205%

    No Known Activations