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    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 12288
    9. 8-RES_FS12288-JB
    11. 10261
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    Explanations

    instances of attendance or absence in various contexts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs12288-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_12288
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    12,288
    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
    445
    +0.13
    0.6%
    253
    +0.09
    0.4%
    555
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    445
    +0.13
    0.03
    469
    +0.09
    0.02
    555
    +0.09
    0.02
    Negative Logits
    slice
    -0.78
    worn
    -0.77
    erm
    -0.77
    deal
    -0.74
    lda
    -0.67
    currency
    -0.67
    hl
    -0.66
    pex
    -0.66
    selves
    -0.66
    vich
    -0.66
    POSITIVE LOGITS
     meetings
    1.04
     conferences
    0.93
     PAX
    0.90
     conventions
    0.86
     seminars
    0.84
     RTX
    0.82
     college
    0.82
     lectures
    0.81
     Attend
    0.80
     rallies
    0.79
    Activations Density 0.086%

    No Known Activations