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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 22289
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    Explanations

    references to randomness and random number generation in programming contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    generating random lists or sequences

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.65
     kasarigan
    -0.65
    Personendaten
    -0.64
     Italijanski
    -0.61
     Италијани
    -0.60
     ivelany
    -0.58
     يتيمه
    -0.58
    DockStyle
    -0.56
     pinulongan
    -0.54
    
    -0.54
    POSITIVE LOGITS
    rmtree
    0.44
     generate
    0.42
     generates
    0.40
    ize
    0.39
     generating
    0.38
     fun
    0.37
     einzu
    0.36
    isation
    0.36
    ization
    0.35
    generate
    0.35
    Activations Density 0.009%

    No Known Activations