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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 4757
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    Explanations

    references to lakes and trails

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Follows "Lake"

    np_acts-logits-general · gemini-2.0-flash

    specific lakes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olescence
    -0.46
    ArgsConstructor
    -0.46
    endgroup
    -0.46
    habitude
    -0.46
    .*")]
    -0.46
    foul
    -0.45
     Mandy
    -0.45
    symbol
    -0.44
    Mandy
    -0.44
    chopped
    -0.44
    POSITIVE LOGITS
     Lake
    2.05
    Lake
    1.94
     lake
    1.80
     LAKE
    1.80
    lake
    1.54
     lakes
    1.50
    LAKE
    1.43
     Lakes
    1.38
    Lakes
    1.22
    lakes
    1.16
    Activations Density 0.082%

    No Known Activations