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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 97494
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    Explanations

    references to storms and tempestuous conditions

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

    storms and named weather events

    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
    withIdentifier
    -0.67
    tagHelperRunner
    -0.65
     surla
    -0.65
    GEBURTSDATUM
    -0.64
    ValueStyle
    -0.62
     nakalista
    -0.55
    RTLD
    -0.54
    Obrázky
    -0.52
     disponibilités
    -0.51
     OnEnable
    -0.51
    POSITIVE LOGITS
     storm
    1.34
     Storm
    1.24
    Storm
    1.23
    storm
    1.22
     storms
    1.21
     STORM
    1.15
     Storms
    1.09
    storms
    1.03
     stormy
    1.00
     tempes
    0.93
    Activations Density 0.016%

    No Known Activations