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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 108507
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    Explanations

    references to transportation and infrastructure, particularly related to ports and railroads

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

    ports and terminals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NameValuePair
    -0.38
    UnknownFields
    -0.38
     fantaisie
    -0.36
     Stoff
    -0.35
     Psy
    -0.34
     decorativos
    -0.34
     demografica
    -0.33
    argento
    -0.33
    Studio
    -0.33
    oggetto
    -0.33
    POSITIVE LOGITS
     port
    0.66
     infrastructure
    0.56
     facilities
    0.56
     Ports
    0.56
     Port
    0.56
     ports
    0.56
     airport
    0.51
    facilities
    0.51
    Vanguard
    0.51
     Airport
    0.50
    Activations Density 0.021%

    No Known Activations