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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. 14943
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    Explanations

    phrases related to shooting and targeting in a basketball context

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

    shooting accuracy

    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
     Infórmanos
    -0.44
     jengibre
    -0.43
     nakalista
    -0.36
     przet
    -0.36
     réunion
    -0.36
     presencia
    -0.35
    榨
    -0.34
    chufe
    -0.34
    الإنجليزية
    -0.33
    ดำ
    -0.33
    POSITIVE LOGITS
     accuracy
    1.23
     Accuracy
    1.14
     shooting
    1.13
     sniper
    1.10
     shots
    1.04
     snipers
    1.03
    Accuracy
    1.02
     sharps
    1.02
    accuracy
    1.02
     shot
    1.02
    Activations Density 0.060%

    No Known Activations