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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. 117399
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    Explanations

    references to subway or metro transportation systems

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

    subway or metro

    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
    ",(
    -0.40
     Ris
    -0.39
    rubin
    -0.36
     Foxes
    -0.36
     egli
    -0.35
    Ris
    -0.35
    noopener
    -0.35
     Rica
    -0.35
     freut
    -0.35
    ,(
    -0.35
    POSITIVE LOGITS
     Subway
    2.09
     subway
    2.03
    Subway
    1.96
     métro
    1.25
     Métro
    1.01
     metro
    0.91
     метро
    0.90
    地铁
    0.87
     Metro
    0.86
    Metro
    0.85
    Activations Density 0.002%

    No Known Activations