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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. 686
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    Explanations

    mixed activations with various topics and contexts, making it challenging to pinpoint a specific theme or pattern

    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
    122
    +0.13
    0.6%
    311
    +0.11
    0.5%
    718
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    718
    +0.13
    0.17
    49
    +0.11
    0.14
    551
    +0.11
    0.13
    Negative Logits
     Flags
    -0.61
    plates
    -0.58
     Rounds
    -0.58
     Actions
    -0.57
     CI
    -0.57
     Sham
    -0.57
     Neuroscience
    -0.55
     littered
    -0.55
    dan
    -0.55
     Charity
    -0.55
    POSITIVE LOGITS
     afford
    1.30
     muster
    1.09
     feas
    1.07
     comprehend
    1.05
     discern
    1.03
    athom
    1.02
     decipher
    1.02
     conceive
    0.99
     cope
    0.98
     adequately
    0.97
    Activations Density 3.143%

    No Known Activations