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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 34238
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    Explanations

    names of athletes, particularly in the context of their performances and achievements

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

    football player names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    picos
    -0.48
    fficio
    -0.42
    rvore
    -0.40
    lenz
    -0.40
     piring
    -0.38
     sebut
    -0.38
    }`}>
    -0.38
    uramente
    -0.37
    identi
    -0.37
    Вход
    -0.36
    POSITIVE LOGITS
    OGND
    0.68
    himovic
    0.63
    bootstrapcdn
    0.59
    цездатний
    0.57
    oredCriteria
    0.57
    ########.
    0.56
    riezmann
    0.54
     Meksiku
    0.52
     autorytatywna
    0.51
    ByVersion
    0.49
    Activations Density 0.005%

    No Known Activations