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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. 7663
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    Explanations

    words related to seeking vengeance or retaliation in a context of conflict or personal grievances

    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
    140
    +0.13
    0.6%
    259
    +0.11
    0.5%
    288
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    140
    +0.13
    0.02
    259
    +0.11
    0.02
    288
    +0.10
    0.02
    Negative Logits
     livest
    -0.78
    ographics
    -0.78
    estone
    -0.76
    umbers
    -0.73
    uddle
    -0.72
    hover
    -0.69
    ucket
    -0.67
    igel
    -0.67
    oret
    -0.65
    zyme
    -0.65
    POSITIVE LOGITS
     retaliation
    1.09
     retribution
    1.09
     retali
    1.08
     against
    1.06
     revenge
    1.04
     retaliate
    1.01
     vengeance
    0.98
     repr
    0.94
     wrath
    0.90
    against
    0.89
    Activations Density 0.043%

    No Known Activations