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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 22129
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    Explanations

    references to players on a sports team, particularly linebackers

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

    linebacker

    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
     EconPapers
    -0.81
     tartalomajánló
    -0.76
     تضيفلها
    -0.75
    expandindo
    -0.73
     disambiguazione
    -0.73
     queſta
    -0.73
    ="@+
    -0.71
     Exacts
    -0.71
     nahilalakip
    -0.71
     الحره
    -0.71
    POSITIVE LOGITS
     linebacker
    0.59
     line
    0.47
     Line
    0.44
    line
    0.40
     edge
    0.35
     middle
    0.35
     blind
    0.33
     outside
    0.33
     LINE
    0.33
     LB
    0.33
    Activations Density 0.030%

    No Known Activations