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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. 80138
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    Explanations

    references to scoring and goals in sports contexts

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

    scored points or goals

    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
     uParam
    -0.52
    netti
    -0.50
     Linden
    -0.50
     WIP
    -0.49
     distrust
    -0.48
     VM
    -0.47
     hindsight
    -0.47
     I
    -0.46
     Mam
    -0.45
     reluctance
    -0.45
    POSITIVE LOGITS
    AddTagHelper
    0.63
     NSCoder
    0.62
    ReusableCell
    0.58
    scoring
    0.57
    scored
    0.54
     мәкал
    0.51
     scoring
    0.50
     scored
    0.50
     leveren
    0.49
    sphin
    0.48
    Activations Density 0.007%

    No Known Activations