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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 7455
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    references to memory allocation and buffer management in programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.71
    ValueGeneration
    -0.59
    ESR
    -0.57
    starttime
    -0.50
    حياته
    -0.50
     angles
    -0.49
    ETZ
    -0.49
    توض
    -0.49
    gebnisse
    -0.47
     arasında
    -0.47
    POSITIVE LOGITS
     enough
    1.03
     Enough
    0.94
    enough
    0.92
     sufficient
    0.92
     larger
    0.89
     ENOUGH
    0.88
    Enough
    0.87
     Sufficient
    0.83
     Larger
    0.80
    Larger
    0.78
    Activations Density 0.424%

    No Known Activations