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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. 16060
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    Explanations

    words related to cooking equipment and processes

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

    burner, Brenner, monomer

    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
    PreExecute
    -0.47
    StateList
    -0.46
    Schwe
    -0.45
     Hoff
    -0.45
    XSSF
    -0.45
     XHTML
    -0.44
    DataBind
    -0.43
    HSSF
    -0.42
    IsPostBack
    -0.42
     Schwe
    -0.42
    POSITIVE LOGITS
     burner
    2.25
     Burner
    2.03
    burner
    1.95
     burners
    1.92
     Brenner
    1.04
     Burning
    0.73
     BURN
    0.73
    Burning
    0.72
     Burnley
    0.69
    burning
    0.68
    Activations Density 0.004%

    No Known Activations