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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 8217
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    Explanations

    mentions of Walmart and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    _;
    -0.39
     Jahrgang
    -0.37
    providers
    -0.36
    __':
    -0.36
     Eriksson
    -0.36
    __":
    -0.36
     trainers
    -0.35
     Exhibitions
    -0.35
    ソッド
    -0.35
     subli
    -0.35
    POSITIVE LOGITS
    Wal
    0.88
     Wal
    0.88
     wal
    0.81
     WAL
    0.78
     Donald
    0.77
    wal
    0.75
    Donald
    0.71
    WAL
    0.69
     Trump
    0.69
     trump
    0.69
    Activations Density 0.384%

    No Known Activations