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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. 8247
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    Explanations

    numeric and statistical data related to sports or physical metrics

    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
     martial
    -0.78
    Martial
    -0.77
     Belt
    -0.75
    Belt
    -0.74
     ceinture
    -0.73
     viewDidLoad
    -0.73
     black
    -0.73
     belt
    -0.72
     belts
    -0.72
     Martial
    -0.71
    POSITIVE LOGITS
    出版年
    0.54
    govor
    0.49
    fillType
    0.49
    antMatchers
    0.47
    udière
    0.46
    показания
    0.45
     verste
    0.45
    ########.
    0.45
    awaiter
    0.45
    äjä
    0.44
    Activations Density 0.300%

    No Known Activations