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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. 6622
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    Explanations

    mentions of weapons or military equipment, specifically cannons in this case

    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
    +0.17
    0.8%
    271
    +0.10
    0.5%
    314
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.17
    0.02
    326
    +0.10
    0.01
    99
    +0.09
    0.01
    Negative Logits
    lihood
    -0.88
    çīĪ
    -0.79
    Redd
    -0.76
     Agents
    -0.73
    ©¶æ
    -0.71
    ele
    -0.70
    æĸ¹
    -0.70
    algia
    -0.70
     Visa
    -0.66
    é¾įå
    -0.66
    POSITIVE LOGITS
    balls
    1.33
    lance
    1.25
    ball
    1.21
     fodder
    1.11
    powder
    0.99
     salute
    0.95
     cannon
    0.93
     turret
    0.91
     bombard
    0.90
     barr
    0.89
    Activations Density 0.032%

    No Known Activations