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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. 380
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    INDEX
    Explanations

    numerical measurements such as scores, statistics, or other quantifiable data

    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
    507
    +0.12
    0.6%
    314
    +0.12
    0.5%
    260
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    507
    +0.12
    0.16
    260
    +0.12
    0.16
    693
    +0.10
    0.15
    Negative Logits
    atem
    -0.55
     Uriel
    -0.55
     Sorceress
    -0.54
     Aly
    -0.53
    £ı
    -0.53
     retweet
    -0.53
     Jagu
    -0.53
     DRAG
    -0.51
     Lara
    -0.51
     Levant
    -0.51
    POSITIVE LOGITS
    th
    1.43
    76
    1.27
    71
    1.24
    56
    1.21
    87
    1.21
    73
    1.20
    61
    1.20
    72
    1.20
    34
    1.20
    54
    1.19
    Activations Density 1.377%

    No Known Activations