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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 99949
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    Explanations

    references to knives and related weaponry in various contexts

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

    knife and bladed weapons

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    UrlResolution
    -0.50
    ंदीखरीदारी
    -0.47
    OGND
    -0.40
     ProtoMessage
    -0.37
    InputBorder
    -0.37
     argint
    -0.36
     становника
    -0.36
     Comprometido
    -0.34
    "}>
    -0.34
     defaultstate
    -0.34
    POSITIVE LOGITS
    exitRule
    0.53
    toThrow
    0.51
     kaarangay
    0.47
    Glej
    0.45
    Knife
    0.44
     knife
    0.42
     Knife
    0.42
     couteau
    0.42
    antMatchers
    0.41
     Opfer
    0.41
    Activations Density 0.017%

    No Known Activations