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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9521
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    semicolons and the termination of statements in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     buckle
    -0.39
     jSON
    -0.39
    ImageView
    -0.39
    |)
    -0.37
    |+
    -0.37
     introduce
    -0.37
    =+
    -0.37
    ="../
    -0.37
    كما
    -0.36
    SDM
    -0.36
    POSITIVE LOGITS
    تقاوى
    0.70
    ftagPool
    0.62
    帖最后由
    0.57
     تضيفلها
    0.56
    ConstraintMaker
    0.54
    jsxFileName
    0.52
     kasarigan
    0.51
    Personendaten
    0.47
     nakalista
    0.46
    ParallelGroup
    0.46
    Activations Density 0.035%

    No Known Activations