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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. 65619
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    Explanations

    references to participation in sports and personal achievement in athletic contexts

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

    international levels

    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
     SwitchCompat
    -0.49
    PyExc
    -0.45
     PyTuple
    -0.41
    PRNewswire
    -0.40
    RegressionTest
    -0.39
    fficients
    -0.38
    tvguidetime
    -0.38
     раду
    -0.36
    kön
    -0.35
    プリング
    -0.35
    POSITIVE LOGITS
     level
    0.69
    レベル
    0.67
     nivå
    0.65
    niveau
    0.64
     niveau
    0.64
     Niveau
    0.63
     poziom
    0.62
     nível
    0.60
     intensity
    0.60
    level
    0.59
    Activations Density 0.028%

    No Known Activations