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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 18-GEMMASCOPE-RES-16K
    6. 14088
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    Explanations

    specific names of people, particularly in academic or medical contexts

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

    India, Pakistan, or Indian cuisine

    np_acts-logits-general · gemini-2.0-flash

    India, Pakistan, Indian cities

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hochspringen
    -0.52
    iseta
    -0.47
    市镇
    -0.44
    bukkit
    -0.43
    новништво
    -0.42
     Nen
    -0.42
    PerformLayout
    -0.41
     Em
    -0.41
    RTSC
    -0.39
     Nol
    -0.39
    POSITIVE LOGITS
     India
    1.06
    India
    1.03
     Bombay
    0.94
     Indian
    0.94
    Indian
    0.92
     Calcutta
    0.90
     DELHI
    0.88
     Mumbai
    0.88
     Indien
    0.88
     Bollywood
    0.86
    Activations Density 0.194%

    No Known Activations