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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. 49865
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    Explanations

    references to training activities and injuries in sports contexts

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

    training camp

    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
     defaultstate
    -0.53
    Personendaten
    -0.50
    AndEndTag
    -0.48
     Schluß
    -0.48
     nahilalakip
    -0.44
     Autorin
    -0.43
    KommentareTeilen
    -0.42
     appelez
    -0.42
     orejas
    -0.41
    UserScript
    -0.40
    POSITIVE LOGITS
     Training
    0.55
     training
    0.52
     coaching
    0.50
     Treatment
    0.49
    training
    0.49
     Treatments
    0.48
     coached
    0.48
     Coaching
    0.47
     trainings
    0.47
    près
    0.47
    Activations Density 0.017%

    No Known Activations