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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8711
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    Explanations

    key moments in sports events, specifically goals and player actions

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

    goals scored in sports matches, particularly focusing on descriptive details about how goals were scored.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    findpost
    -0.52
    +#+#
    -0.49
     चीज़ों
    -0.49
    tubes
    -0.48
    ագրություններ
    -0.46
     surla
    -0.46
     Sedangkan
    -0.44
    canes
    -0.44
     normais
    -0.44
     تكبرها
    -0.43
    POSITIVE LOGITS
    SequentialGroup
    0.46
     flick
    0.43
     curling
    0.41
     powerfully
    0.39
     volley
    0.38
     dri
    0.37
     deflection
    0.37
     cross
    0.36
    Cross
    0.35
     curled
    0.35
    Activations Density 0.041%

    No Known Activations