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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. 9675
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    Explanations

    references to urban transportation systems

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

    references to specific public transportation systems, routes, and modes of transit like buses, street cars, and regional rail services.

    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
    
    -0.47
     CURIAM
    -0.46
     AssemblyTitle
    -0.43
     inmobili
    -0.40
     flown
    -0.38
    Parcelize
    -0.37
     Mak
    -0.36
     Perſ
    -0.36
     conclud
    -0.35
    FTAR
    -0.35
    POSITIVE LOGITS
     bus
    1.98
     buses
    1.73
     Bus
    1.69
    Bus
    1.66
    bus
    1.62
     Buses
    1.62
    Buses
    1.46
     BUS
    1.44
    buses
    1.41
    BUS
    1.38
    Activations Density 0.100%

    No Known Activations