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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. 2619
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    Explanations

    references to different modes of transportation, particularly trains

    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
    +0.12
    0.5%
    385
    +0.10
    0.5%
    537
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    652
    +0.12
    0.02
    537
    +0.10
    0.02
    110
    +0.09
    0.02
    Negative Logits
    osi
    -0.72
     Tablet
    -0.71
    cised
    -0.67
    erenn
    -0.67
     Sphere
    -0.63
     Prairie
    -0.61
     Reach
    -0.59
     pop
    -0.59
    eff
    -0.59
    theless
    -0.59
    POSITIVE LOGITS
    wreck
    1.27
    roads
    0.99
    loads
    0.98
     conductor
    0.97
    ees
    0.94
    cars
    0.93
     cars
    0.91
     trains
    0.89
     wreck
    0.89
     derail
    0.87
    Activations Density 0.016%

    No Known Activations