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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. 11097
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    Explanations

    references to the name "Gar" or variations of it related to different contexts or characters

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

    Tokens starting with "Gar"

    np_acts-logits-general · gemini-2.0-flash

    Gar prefix

    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
    脚注の使い方
    -0.80
    EndContext
    -0.65
     cherchés
    -0.63
     kasarigan
    -0.63
    ReusableCell
    -0.60
     EconPapers
    -0.60
    AccessException
    -0.59
    complexContent
    -0.59
    lexia
    -0.57
     ModelExpression
    -0.57
    POSITIVE LOGITS
     Gar
    0.68
    Gar
    0.61
     GAR
    0.60
     gar
    0.54
    gar
    0.42
     Garrison
    0.42
     Гар
    0.41
     Garg
    0.39
     Garvey
    0.39
     megt
    0.39
    Activations Density 0.147%

    No Known Activations