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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 1162
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    INDEX
    Explanations

    technical specifications related to vehicle performance and features

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

    engines and their specifications

    np_acts-logits-general · gemini-2.0-flash

    engines and motors

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    الإنجليزية
    -0.70
    MLLoader
    -0.56
     للاسماء
    -0.52
    writeField
    -0.50
     gustó
    -0.50
     StringTokenizer
    -0.49
    żdż
    -0.48
     AssemblyTitle
    -0.48
     متعلقه
    -0.48
    geocode
    -0.48
    POSITIVE LOGITS
     engines
    1.26
     engine
    1.24
    engine
    1.02
     Engines
    0.94
     Engine
    0.93
    engines
    0.86
     ENGINE
    0.84
     motors
    0.82
     motor
    0.80
     powerful
    0.79
    Activations Density 0.179%

    No Known Activations