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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. 20-GEMMASCOPE-RES-131K
    11. 12800
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    Explanations

    terms related to fishing and attracting animals, especially using bait

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

    attracting prey

    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
    sizeCache
    -0.54
     AssemblyTitle
    -0.54
     NSCoder
    -0.49
    AddTagHelper
    -0.49
    AccessorTable
    -0.48
    AndEndTag
    -0.47
    curities
    -0.46
     scuole
    -0.46
    tagHelperRunner
    -0.44
    epoca
    -0.44
    POSITIVE LOGITS
     feeders
    0.53
     bait
    0.50
     attract
    0.50
     lure
    0.50
     attracting
    0.48
     attracts
    0.47
     Attra
    0.45
     atraer
    0.45
    bait
    0.45
     feeder
    0.42
    Activations Density 0.074%

    No Known Activations