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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. 7094
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    INDEX
    Explanations

    grammatical structures specifically related to nouns and verbs

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

    and definitions of nouns or verbs

    np_acts-logits-general · gemini-2.0-flash

    noun phrases

    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
    addCriterion
    -0.35
    EFAULT
    -0.34
     nonUne
    -0.32
    DU
    -0.32
    /*-
    -0.31
    ựa
    -0.31
    ξ
    -0.30
    новниш
    -0.29
    visibility
    -0.29
    <?
    -0.28
    POSITIVE LOGITS
    noun
    0.96
     noun
    0.95
     nouns
    0.88
     Noun
    0.84
    Noun
    0.80
    adjective
    0.69
    名詞
    0.68
     adjective
    0.65
     NSObject
    0.64
     pymongo
    0.59
    Activations Density 0.452%

    No Known Activations