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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. 115142
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    INDEX
    Explanations

    references to cardboard and informational contexts

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

    cardboard, informational, FTSE, cartilage, acetone, conformational, evidentiary

    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
    databind
    -0.40
    providedIn
    -0.35
    ับ
    -0.35
    '],$
    -0.34
    BindView
    -0.33
    volles
    -0.32
     Yon
    -0.32
    spedes
    -0.32
     ix
    -0.31
    setopt
    -0.31
    POSITIVE LOGITS
     Palazzo
    0.76
     Koz
    0.71
     cardboard
    0.67
     cartilage
    0.65
    Koz
    0.64
     ainfi
    0.63
     Cardboard
    0.63
     oatmeal
    0.62
    Palazzo
    0.61
     leſs
    0.61
    Activations Density 0.018%

    No Known Activations