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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 1487
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    Explanations

    particles and conjunctions commonly used in Japanese sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Korn
    -0.59
    ctional
    -0.58
    urbing
    -0.58
     pyplot
    -0.56
    illing
    -0.56
    ella
    -0.54
    rente
    -0.54
     Pax
    -0.54
    iske
    -0.52
     समीक्षाओं
    -0.52
    POSITIVE LOGITS
    きは
    0.94
    さは
    0.91
     것은
    0.86
    力は
    0.86
    しくは
    0.85
    IsMutable
    0.84
    らは
    0.84
    体は
    0.84
    りは
    0.83
     certainly
    0.81
    Activations Density 0.033%

    No Known Activations