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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. 4
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    Explanations

    adjectives describing performance, such as 'ridiculous', 'stronger' and 'solid'

    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
    362
    +0.13
    0.6%
    718
    +0.10
    0.5%
    572
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    362
    +0.13
    0.14
    408
    +0.10
    0.14
    65
    +0.10
    0.10
    Negative Logits
    hops
    -1.11
    events
    -0.97
    lees
    -0.96
    casts
    -0.92
     Rooms
    -0.91
    units
    -0.90
    aunts
    -0.89
    ometers
    -0.88
    items
    -0.88
    iddles
    -0.87
    POSITIVE LOGITS
     dose
    1.10
     swath
    1.09
     assortment
    1.06
     relationship
    1.05
     amount
    1.03
     foothold
    1.02
     chunk
    1.01
     regimen
    0.98
     degree
    0.98
     standpoint
    0.96
    Activations Density 1.544%

    No Known Activations