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    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 768
    9. 8-RES_FS768-JB
    11. 677
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    Explanations

    words related to food and dining establishments

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs768-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_768
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    768
    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
    35
    +0.12
    0.6%
    459
    +0.11
    0.5%
    526
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.12
    0.19
    326
    +0.11
    0.14
    35
    +0.10
    0.10
    Negative Logits
    vernment
    -0.79
     Telecommunications
    -0.73
     Caldwell
    -0.71
     Stellar
    -0.69
    idable
    -0.66
     PV
    -0.66
     Bundes
    -0.65
     Gemini
    -0.65
    Downloadha
    -0.64
     Armory
    -0.64
    POSITIVE LOGITS
    cake
    1.17
     meals
    1.12
    bowl
    1.10
     eaten
    1.10
    meat
    1.05
     cakes
    1.05
     cake
    1.04
     eater
    1.04
     breakfast
    1.02
     snacks
    1.00
    Activations Density 3.968%

    No Known Activations