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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. 1469
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    Explanations

    mentions of tanks, especially in the context of military actions or legal implications

    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
    +0.15
    0.7%
    484
    +0.11
    0.5%
    447
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.15
    0.02
    484
    +0.11
    0.01
    459
    +0.10
    0.01
    Negative Logits
    âĸ¬
    -0.96
    theless
    -0.71
    ————
    -0.67
    çīĪ
    -0.67
    BOOK
    -0.66
     intrins
    -0.66
    phony
    -0.64
     DMCA
    -0.64
    teness
    -0.63
     Lod
    -0.62
    POSITIVE LOGITS
    erness
    1.16
    ards
    0.99
    yard
    0.97
    tank
    0.97
    mates
    0.97
    ard
    0.94
    buster
    0.89
    pit
    0.87
    roller
    0.86
    etry
    0.86
    Activations Density 0.029%

    No Known Activations