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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. 44379
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    Explanations

    mentions of different types of stones and minerals

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

    granite and minerals

    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
    cxt
    -0.50
    verwijspagina
    -0.49
    TagHelper
    -0.46
     Weeknd
    -0.45
     zorro
    -0.43
    $_['
    -0.43
     jor
    -0.42
     ambul
    -0.41
     resourceCulture
    -0.41
     Jalisco
    -0.41
    POSITIVE LOGITS
     granite
    2.20
     Granite
    2.05
    Granite
    2.03
     granito
    1.46
     granit
    1.21
    gran
    1.00
     GRAN
    0.99
    GRAN
    0.88
     gran
    0.86
     Gran
    0.83
    Activations Density 0.003%

    No Known Activations