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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 5447
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    Explanations

    references to military weapons and artillery systems

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

    Usage of cannons or telescopes

    np_acts-logits-general · gemini-2.0-flash

    weaponry and cannons

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.60
    Tight
    -0.47
     للمعارف
    -0.46
    Демографія
    -0.42
     Tight
    -0.41
    tight
    -0.40
    DIPSETTING
    -0.39
    şört
    -0.36
     MainAxisSize
    -0.34
    PreferredItem
    -0.34
    POSITIVE LOGITS
     artillery
    0.82
     Artillery
    0.67
     bombardment
    0.59
     cannons
    0.58
     cannon
    0.56
     gunner
    0.51
    砲
    0.50
     shelling
    0.49
    炮
    0.49
    DataAnnotations
    0.46
    Activations Density 0.263%

    No Known Activations