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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 65056
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    INDEX
    Explanations

    phrases indicating arming or equipping with weapons

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

    armed with

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lewati
    -0.42
     ζω
    -0.40
    arbeid
    -0.35
     λειτουργ
    -0.34
    eader
    -0.33
    還要
    -0.33
    يميديا
    -0.33
     Verhältnisse
    -0.33
     manutenção
    -0.33
    Chorus
    -0.33
    POSITIVE LOGITS
     armed
    0.69
    DockStyle
    0.62
    Armed
    0.60
     unarmed
    0.60
     Arma
    0.60
     armé
    0.59
     disarm
    0.58
    武装
    0.58
     armament
    0.58
     noDo
    0.57
    Activations Density 0.009%

    No Known Activations