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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 15742
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    Explanations

    references to locations and airports

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

    specific place names (airports, cities, and geographic locations).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kasarigan
    -0.80
    SharedDtor
    -0.66
     estekak
    -0.60
    脚注の使い方
    -0.57
    disposing
    -0.52
    ScopeManager
    -0.51
     ✭✭
    -0.51
    __(/*!
    -0.51
    ьаж
    -0.50
    AccessorTable
    -0.50
    POSITIVE LOGITS
     airport
    1.66
     airports
    1.46
     Airport
    1.41
    airport
    1.32
    Airport
    1.23
     aeropuerto
    1.18
     Airports
    1.16
     Flughafen
    1.11
     Aeropuerto
    1.09
     aeroporto
    1.07
    Activations Density 0.156%

    No Known Activations