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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. 11160
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    INDEX
    Explanations

    references to wins and victories in sporting contexts

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

    Winning or having won something

    np_acts-logits-general · gemini-2.0-flash

    winning elections and contests

    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
    ineno
    -0.40
    Viungo
    -0.35
     documento
    -0.34
     Haushalt
    -0.34
    Bakgrunnsstoff
    -0.34
    èlement
    -0.34
     Erfolgs
    -0.33
    urten
    -0.33
     complémentaires
    -0.33
     plantel
    -0.33
    POSITIVE LOGITS
     battles
    0.71
     elections
    0.71
     contests
    0.70
     wars
    0.63
     races
    0.62
     won
    0.59
     competitions
    0.58
    exitRule
    0.56
     hearts
    0.56
     contest
    0.56
    Activations Density 0.150%

    No Known Activations