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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 107265
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    Explanations

    references to railways and public transport systems

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

    public rail transport

    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
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.64
    verwijspagina
    -0.57
     EconPapers
    -0.52
     vastaan
    -0.49
     disambiguazione
    -0.47
     protectora
    -0.45
    httphttps
    -0.44
     ModelExpression
    -0.44
    béco
    -0.44
     corrupción
    -0.43
    POSITIVE LOGITS
     train
    0.71
     trains
    0.68
     Train
    0.64
     Trains
    0.64
     Rail
    0.62
    Trains
    0.59
    Train
    0.56
     treno
    0.55
     rail
    0.55
    trains
    0.54
    Activations Density 0.065%

    No Known Activations