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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. 7461
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    INDEX
    Explanations

    occurrences of the word "much" in various contexts

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

    "How much" phrases

    np_acts-logits-general · gemini-2.0-flash

    much followed by quantity or comparison

    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
    Not in Any Lists

    No Comments

    Negative Logits
     ainfi
    -0.56
     mourut
    -0.55
    DockStyle
    -0.54
    BufferException
    -0.52
    expandindo
    -0.50
     ویکی‌پدی
    -0.50
     ferroviaire
    -0.49
     législ
    -0.49
    tvguidetime
    -0.48
    Très
    -0.48
    POSITIVE LOGITS
    mehr
    0.53
     amounts
    0.53
     MORE
    0.49
     McLeod
    0.49
    Excess
    0.47
     Aquarius
    0.47
     pounds
    0.47
     amount
    0.46
    MORE
    0.45
     Excess
    0.45
    Activations Density 0.127%

    No Known Activations