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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. 1606
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    INDEX
    Explanations

    quantifiers or descriptors emphasizing quantity or significance

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

    "much" preceding comparative adjectives

    np_acts-logits-general · gemini-2.0-flash

    much followed by a comparative

    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
    DRS
    -0.54
    ais
    -0.48
     Lauder
    -0.48
    oflavin
    -0.47
     jod
    -0.47
    aita
    -0.45
    aisons
    -0.45
    bld
    -0.44
    oids
    -0.44
    HLA
    -0.44
    POSITIVE LOGITS
     much
    1.66
    much
    1.53
    Much
    1.50
     Much
    1.45
     MUCH
    1.42
     mucho
    1.20
     beaucoup
    1.05
    mucho
    1.02
     viel
    0.90
     mucha
    0.90
    Activations Density 0.138%

    No Known Activations