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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9424
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    Explanations

    references to specific character names or titles within a fictional context

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

    Japanese transliterations, often "Kyu" or "Oushi"

    np_acts-logits-general · gemini-2.0-flash

    Uchu Sentai Kyuranger names

    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
     Japanese
    -0.94
     Japan
    -0.94
     JAPAN
    -0.88
     japonaise
    -0.82
     japanese
    -0.82
     japan
    -0.81
    Japan
    -0.81
     Jap
    -0.80
     Japon
    -0.80
     Tokyo
    -0.79
    POSITIVE LOGITS
     no
    0.53
    cho
    0.49
    Shot
    0.46
    ry
    0.45
    zar
    0.45
    za
    0.45
    TEN
    0.43
    jo
    0.43
    no
    0.43
    den
    0.43
    Activations Density 0.259%

    No Known Activations