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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 3060
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    Explanations

    references to storms and severe weather events

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

    storms

    np_acts-logits-general · gemini-2.0-flash

    storm and storms

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    -0.44
    ulemon
    -0.40
     comerciais
    -0.40
     φί
    -0.39
     useState
    -0.39
     oči
    -0.38
     médicas
    -0.38
     indietro
    -0.38
    Parameteri
    -0.37
    الإنجليزية
    -0.37
    POSITIVE LOGITS
     storm
    2.03
     Storm
    1.89
    storm
    1.85
    Storm
    1.85
     storms
    1.73
     STORM
    1.73
    storms
    1.54
     Storms
    1.52
     tormenta
    1.35
     stormy
    1.34
    Activations Density 0.236%

    No Known Activations