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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 62029
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    Explanations

    references to different types of dim sum, a traditional Cantonese dish

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

    dim/Dim prefixes with specific endings

    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
     NSCoder
    -0.48
    Diweddarwch
    -0.45
    CloseOperation
    -0.42
     indisponible
    -0.42
     Chwiliwch
    -0.40
    eradish
    -0.39
    aufs
    -0.38
     ſch
    -0.38
    dette
    -0.37
    WEBPACK
    -0.36
    POSITIVE LOGITS
     Dim
    0.98
    Dim
    0.90
     dim
    0.83
    dim
    0.81
     DIM
    0.78
     dims
    0.73
    DIM
    0.73
     Dimitri
    0.69
     dimming
    0.68
     Dimin
    0.64
    Activations Density 0.016%

    No Known Activations