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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 15124
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    Explanations

    elements related to coding, particularly focusing on data structures and their manipulation

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

    names as list items

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -0.65
    脚注の使い方
    -0.61
    featureID
    -0.60
    VersionUID
    -0.56
     fieldNum
    -0.54
    inghouse
    -0.53
    transQ
    -0.52
     חיצוניים
    -0.51
    modelBuilder
    -0.51
    inheritDoc
    -0.50
    POSITIVE LOGITS
     names
    1.08
     name
    0.91
    names
    0.81
     Names
    0.73
    Names
    0.71
     nomes
    0.66
     Name
    0.64
     NAMES
    0.64
     tên
    0.60
     이름
    0.59
    Activations Density 0.075%

    No Known Activations