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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. 15471
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    INDEX
    Explanations

    mentions of cafes or coffee-related terms

    oai_token-act-pair · gpt-3.5-turbo
    Triggered 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
    Neuron Alignment
    Index
    Value
    % of L₁
    481
    +0.14
    0.6%
    288
    +0.13
    0.6%
    447
    +0.13
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.14
    0.02
    537
    +0.13
    0.02
    10
    +0.13
    0.01
    Negative Logits
    LOCK
    -0.66
    female
    -0.66
    RAY
    -0.65
     iod
    -0.65
    usted
    -0.61
    methyl
    -0.61
    olves
    -0.60
    aining
    -0.60
    save
    -0.60
    goal
    -0.58
    POSITIVE LOGITS
     cafes
    1.09
     cafe
    1.06
     café
    1.03
     caf
    1.00
     frequ
    0.95
     Cafe
    0.86
     Café
    0.85
     kios
    0.85
     racer
    0.84
    eteria
    0.84
    Activations Density 0.037%

    No Known Activations