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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14494
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    INDEX
    Explanations

    references to vehicle recalls and associated issues

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

    before "recall" or related terms

    np_acts-logits-general · gemini-2.0-flash

    recalls and worldwide recalls

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Савезне
    -0.33
     garrafa
    -0.29
     desbloquear
    -0.29
     toegang
    -0.28
    Formazione
    -0.27
    vención
    -0.27
     logros
    -0.27
    ContentAlignment
    -0.27
     configuración
    -0.26
     Normalmente
    -0.26
    POSITIVE LOGITS
     recall
    1.98
     recalled
    1.88
     recalls
    1.82
     Recall
    1.74
    recall
    1.70
     recalling
    1.68
    Recall
    1.62
     recollect
    1.11
    召
    1.01
     rappeler
    0.94
    Activations Density 0.230%

    No Known Activations