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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. 10866
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    Explanations

    references to unhealthy food components, particularly sugar and sweetened products

    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
    SharedCtor
    -0.54
    NameInMap
    -0.48
     makeStyles
    -0.46
     split
    -0.45
     szóci
    -0.45
    split
    -0.43
    Javadoc
    -0.43
     Brust
    -0.43
     breast
    -0.43
    Split
    -0.43
    POSITIVE LOGITS
    falgar
    0.68
     يتيمه
    0.65
    TacToe
    0.62
    évaluateur
    0.58
    retweeted
    0.58
     étrangère
    0.58
    kuuta
    0.57
     Infórmanos
    0.57
     compaction
    0.56
     >=",
    0.56
    Activations Density 0.477%

    No Known Activations