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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. 9978
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    Explanations

    urban and environmental factors that influence water runoff and precipitation

    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
    
    -0.76
     CreateTagHelper
    -0.72
     ExecuteAsync
    -0.69
    цездатний
    -0.69
     Exacts
    -0.68
    Obrázky
    -0.68
     HomeComponent
    -0.65
     combineReducers
    -0.64
    LookAnd
    -0.64
     Мексичка
    -0.63
    POSITIVE LOGITS
     sunlight
    0.78
     sun
    0.74
    sun
    0.69
    Sunlight
    0.65
     rain
    0.63
     sunshine
    0.62
     солне
    0.60
     Sun
    0.60
     rains
    0.60
     rainfall
    0.59
    Activations Density 0.299%

    No Known Activations