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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 60154
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    INDEX
    Explanations

    references to fleets and their operations

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

    fleet sailing or vehicles

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     Yellow
    -0.48
     German
    -0.47
     Canadian
    -0.47
     Arkansas
    -0.46
     Walther
    -0.46
     or
    -0.46
     Pennsylvania
    -0.45
     Nobel
    -0.45
     American
    -0.45
     Oppenheimer
    -0.45
    POSITIVE LOGITS
     fleet
    2.08
     Fleet
    2.06
    Fleet
    2.05
    fleet
    1.91
     fleets
    1.59
     flota
    1.31
    FLE
    1.21
     FLE
    1.16
     Fleetwood
    1.02
    艦隊
    0.98
    Activations Density 0.002%

    No Known Activations