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    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 24576
    5. 8-RES_FS24576-JB
    6. 11339
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    Explanations

    differences between policies or practices among different entities, particularly related to real estate or entertainment venues

    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
    288
    +0.14
    0.7%
    481
    +0.13
    0.6%
    447
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.14
    0.02
    590
    +0.13
    0.01
    121
    +0.10
    0.01
    Negative Logits
    quel
    -0.79
    seed
    -0.78
    teenth
    -0.73
    sis
    -0.72
    sha
    -0.71
    doms
    -0.71
    luaj
    -0.67
    tan
    -0.67
    ynes
    -0.67
    plets
    -0.66
    POSITIVE LOGITS
     venue
    1.06
     venues
    0.97
     hosting
    0.83
     seating
    0.81
    goers
    0.81
     booked
    0.81
     patrons
    0.75
     booking
    0.75
     occupancy
    0.74
     frequ
    0.73
    Activations Density 0.038%

    No Known Activations