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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13206
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    INDEX
    Explanations

    questions and phrases related to evaluating quantities or amounts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    "How much" or similar quantity phrases

    np_acts-logits-general · gemini-2.0-flash

    questions of quantity

    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
    Negative Logits
    DoubleQuotes
    -0.64
    principalColumn
    -0.60
     pérd
    -0.57
     venganza
    -0.56
     mármol
    -0.54
    DeleteBehavior
    -0.53
     tarko
    -0.53
    enumii
    -0.52
    viewDidLoad
    -0.52
    yarnpkg
    -0.51
    POSITIVE LOGITS
    有多少
    0.52
     چقدر
    0.47
     कित
    0.45
     Chi
    0.44
    どれだけ
    0.44
     Shi
    0.43
     Sha
    0.41
     Sund
    0.40
     Lev
    0.40
     Sher
    0.39
    Activations Density 0.825%

    No Known Activations