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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 59850
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    Explanations

    mentions of touchdowns in sports contexts

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

    touchdowns

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Privacidade
    -0.40
     Grecs
    -0.40
     creencias
    -0.39
     labios
    -0.39
     للمعارف
    -0.39
     desierto
    -0.38
     voces
    -0.37
    vencia
    -0.37
     esferas
    -0.36
    Charsets
    -0.35
    POSITIVE LOGITS
     touchdowns
    2.02
     touchdown
    1.52
     TDs
    0.96
     TD
    0.69
     landing
    0.65
     landings
    0.64
    parsedMessage
    0.63
     Landing
    0.62
    tangentMode
    0.61
     themſelves
    0.60
    Activations Density 0.003%

    No Known Activations