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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. 9-GEMMASCOPE-RES-131K
    11. 8663
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    INDEX
    Explanations

    references to boating and cruise experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    aboard ships and boats

    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
    Negative Logits
    //
    -0.56
    SequentialGroup
    -0.52
    /*
    -0.50
     CanadaChoose
    -0.47
     résister
    -0.44
     gynhyrchwyd
    -0.43
     cliquant
    -0.43
     dramatique
    -0.42
    ceğine
    -0.42
    MockMvc
    -0.41
    POSITIVE LOGITS
     aboard
    0.72
     cruises
    0.68
     cruise
    0.68
     ship
    0.63
     onboard
    0.58
     boat
    0.57
     Cruises
    0.57
     boats
    0.53
     crew
    0.53
     Cruise
    0.53
    Activations Density 0.070%

    No Known Activations