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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8568
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    Explanations

    references to flooding and water-related issues

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

    floods or flooding events

    np_acts-logits-general · gemini-2.0-flash

    yearly flooding

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     estekak
    -0.81
     ModelExpression
    -0.71
    tagHelperRunner
    -0.69
    Datuak
    -0.66
    aarrggbb
    -0.65
    Tracce
    -0.65
     nonUne
    -0.64
     EconPapers
    -0.63
     Paglinawan
    -0.63
     ligiloj
    -0.60
    POSITIVE LOGITS
     flood
    1.78
     flooding
    1.58
     flooded
    1.51
     floods
    1.48
     Flood
    1.46
     FLOOD
    1.40
    flood
    1.39
    Flood
    1.36
     Flooding
    1.34
     inund
    1.28
    Activations Density 0.100%

    No Known Activations