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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. 78481
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    Explanations

    transportation-related entities and terms, particularly those associated with rail and transit systems

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

    train, bus, and rail transportation

    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
    AndEndTag
    -0.57
    aarrggbb
    -0.46
     ModelExpression
    -0.42
     muñeca
    -0.41
     ब्रेकडाउन
    -0.40
     Exacts
    -0.37
    ēju
    -0.36
    Erstellt
    -0.36
     dục
    -0.36
    tonsoft
    -0.36
    POSITIVE LOGITS
     Amtrak
    0.56
    GraphicsUnit
    0.51
    新幹線
    0.49
    Cyfeiriadau
    0.48
     Flix
    0.48
     bus
    0.48
     Buses
    0.47
     sleeper
    0.46
    ChildScrollView
    0.46
     Hym
    0.46
    Activations Density 0.040%

    No Known Activations