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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 7720
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    references to rivers and bodies of water

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rivers
    -0.63
     river
    -0.56
    RTLR
    -0.55
     تضيفلها
    -0.47
     transfieras
    -0.46
     RIVER
    -0.46
    rivers
    -0.45
     ویکی‌پدی
    -0.45
    libft
    -0.44
     River
    -0.44
    POSITIVE LOGITS
    bed
    0.75
    bank
    0.74
    banks
    0.70
    beds
    0.65
    front
    0.60
    BANK
    0.57
     basin
    0.53
     valley
    0.52
    valley
    0.51
    BED
    0.50
    Activations Density 0.338%

    No Known Activations