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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. 96432
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    Explanations

    references to different types of trail surfaces, particularly paved paths

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

    paved trails and routes

    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
    StoryboardSegue
    -0.61
    TagMode
    -0.56
     propOrder
    -0.54
    piram
    -0.53
     useSelector
    -0.52
    PyExc
    -0.52
     zwiſchen
    -0.50
     $_=
    -0.49
     препратки
    -0.49
    pective
    -0.49
    POSITIVE LOGITS
     pavement
    0.53
     pavements
    0.50
     Pavement
    0.47
     asfalto
    0.46
     roads
    0.46
     sidewalks
    0.45
     asfal
    0.43
     streets
    0.43
     tarmac
    0.42
     paved
    0.40
    Activations Density 0.008%

    No Known Activations