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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 6909
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    Explanations

    references to transportation methods, particularly buses

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

    "bus" or "buses"

    np_acts-logits-general · gemini-2.0-flash

    bus stop

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     समीक्षाओं
    -0.54
    CodeAnalysis
    -0.53
    FunctionFlags
    -0.51
     cere
    -0.49
    Enllaces
    -0.48
    albero
    -0.47
    inars
    -0.46
    InjectAttribute
    -0.46
    FieldOffset
    -0.46
    +:+
    -0.46
    POSITIVE LOGITS
     bus
    1.96
     buses
    1.87
     Bus
    1.69
     Buses
    1.65
    Bus
    1.64
    bus
    1.62
    buses
    1.47
    Buses
    1.46
     BUS
    1.43
    BUS
    1.36
    Activations Density 0.126%

    No Known Activations