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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. 12240
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    Explanations

    specifics related to basketball training and performance techniques

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

    learning and techniques

    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
    newArrayList
    -0.51
     PeEnEo
    -0.47
    хьтан
    -0.46
     Normdatei
    -0.46
    willReturn
    -0.46
     препратки
    -0.44
     governmental
    -0.44
     Guilt
    -0.43
     political
    -0.42
     Assemble
    -0.42
    POSITIVE LOGITS
     latihan
    0.75
     entrenar
    0.72
     training
    0.71
     trän
    0.70
     Anfänger
    0.67
    Training
    0.67
     apprendre
    0.65
     technique
    0.65
    练习
    0.64
    training
    0.64
    Activations Density 0.047%

    No Known Activations