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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6537
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    Explanations

    references to water bodies, specifically ponds and lakes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kons
    -0.47
     Kab
    -0.44
     absol
    -0.43
     Ters
    -0.43
    :✨
    -0.41
    conc
    -0.41
    MenuInflater
    -0.41
    idios
    -0.41
    lø
    -0.41
     Kalman
    -0.40
    POSITIVE LOGITS
     pond
    1.01
     lake
    0.95
     lakes
    0.87
     ponds
    0.82
     reservoir
    0.74
     Pond
    0.72
     pool
    0.69
     POND
    0.69
    Pond
    0.67
     Lake
    0.66
    Activations Density 0.398%

    No Known Activations