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    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 768
    5. 8-RES_FS768-JB
    6. 192
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    Explanations

    facts, numbers, statistics, and quoted statements in the context of reports, analysis, and documentation

    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
    •"make sure"
    "suggest/note/report"
    •Make sure feature
    •Canonical Figure 13

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.12
    0.6%
    375
    +0.10
    0.5%
    274
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    274
    +0.12
    0.15
    195
    +0.10
    0.07
    483
    +0.10
    0.11
    Negative Logits
    gur
    -0.72
     Pastebin
    -0.70
    ãĥĩ
    -0.68
    xtap
    -0.65
    ãĥ¬
    -0.65
    ciating
    -0.63
    ä½ľ
    -0.63
    quer
    -0.62
    osc
    -0.62
    adesh
    -0.62
    POSITIVE LOGITS
     that
    1.00
     discrepancies
    0.75
     inconsistencies
    0.74
     how
    0.74
     anecd
    0.72
     there
    0.72
    that
    0.72
    rists
    0.71
     similarities
    0.70
     they
    0.69
    Activations Density 3.704%

    No Known Activations