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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. 64199
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    Explanations

    terms and phrases related to trains and railways

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

    trains and railways

    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
    estinian
    -0.48
     >=",
    -0.46
     giovan
    -0.45
    original
    -0.45
    InjectMocks
    -0.44
    protetor
    -0.44
     Transparen
    -0.43
    està
    -0.43
     stroking
    -0.43
    glClear
    -0.42
    POSITIVE LOGITS
     railway
    1.09
     railroad
    1.07
     rail
    0.98
     Railway
    0.98
     Railways
    0.97
     Railroad
    0.96
     railways
    0.96
     train
    0.92
    Rail
    0.91
     Trains
    0.91
    Activations Density 0.033%

    No Known Activations