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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. 2656
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    INDEX
    Explanations

    phrases emphasizing quantity or significance

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

    "to do," "deal," "known," followed by certain prepositions

    np_acts-logits-general · gemini-2.0-flash

    lot of things

    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
     HasFactory
    -0.42
     TextInputType
    -0.40
    脚注の使い方
    -0.39
     disambiguazione
    -0.38
     Dafür
    -0.37
    তথ্যসূত্র
    -0.36
    ReusableCell
    -0.36
     sprá
    -0.35
    헌
    -0.35
    astify
    -0.35
    POSITIVE LOGITS
     многое
    0.68
     Everything
    0.59
    Everything
    0.57
     everything
    0.54
     vieles
    0.54
    Things
    0.53
     einiges
    0.52
     Things
    0.52
     Nothing
    0.51
     lot
    0.51
    Activations Density 0.275%

    No Known Activations