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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. 4157
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    INDEX
    Explanations

    names of individuals, particularly in legal or professional contexts

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

    people's names

    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
    Personendaten
    -0.82
     betweenstory
    -0.80
    󠁿
    -0.70
     queſta
    -0.68
     Италијани
    -0.65
     مشين
    -0.65
    Bibliograf
    -0.60
    //
    -0.60
    Aholisi
    -0.59
    ngrx
    -0.58
    POSITIVE LOGITS
    e
    0.35
     Vernunft
    0.33
    iyle
    0.32
     Nate
    0.32
     Gubernur
    0.32
    RISE
    0.32
    คะ
    0.31
     Pflichten
    0.31
     liście
    0.31
     RISE
    0.31
    Activations Density 0.007%

    No Known Activations