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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7776
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    Explanations

    names and locations related to India and its culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGND
    -0.36
     Hammond
    -0.33
     Jorg
    -0.33
     mâ
    -0.31
    SourceChecksum
    -0.31
     kaarangay
    -0.30
    table
    -0.30
     보
    -0.28
     Dan
    -0.28
    Dan
    -0.28
    POSITIVE LOGITS
     Mumbai
    1.90
     Delhi
    1.80
     Bollywood
    1.72
    Mumbai
    1.70
     Bombay
    1.68
     India
    1.67
     Gujarat
    1.66
    Delhi
    1.66
     Bangalore
    1.62
    India
    1.61
    Activations Density 1.241%

    No Known Activations