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    1. Home
    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 768
    5. 8-RES_FS768-JB
    6. 1
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

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    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
    57
    +0.10
    0.5%
    507
    +0.10
    0.5%
    114
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    665
    +0.10
    0.16
    507
    +0.10
    0.12
    301
    +0.10
    0.09
    Negative Logits
    ebus
    -0.81
    Sov
    -0.72
    rious
    -0.70
    rouse
    -0.66
    united
    -0.66
     Dynamics
    -0.65
    gow
    -0.65
    swick
    -0.65
    lycer
    -0.64
    orthy
    -0.62
    POSITIVE LOGITS
     altogether
    1.21
     unnecessary
    0.98
     offending
    0.94
     entirely
    0.94
     outright
    0.90
     abruptly
    0.89
     unwanted
    0.88
     bothering
    0.86
     disbelief
    0.82
     inhib
    0.81
    Activations Density 4.360%

    No Known Activations