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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. 9066
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    Explanations

    references to individuals and roles that are labeled as former, particularly in political or organizational contexts

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

    Following the word "Former"

    np_acts-logits-general · gemini-2.0-flash

    former political figures and roles

    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
    otherwise
    -0.51
    tualmente
    -0.49
     Otherwise
    -0.46
    Otherwise
    -0.46
     otherwise
    -0.46
    currently
    -0.46
     currently
    -0.43
     jinak
    -0.42
     yoksa
    -0.41
     Verpflich
    -0.40
    POSITIVE LOGITS
     Yugoslavia
    0.69
     Yugoslav
    0.64
     glories
    0.62
     Soviet
    0.61
     presidents
    0.56
     USSR
    0.53
     KGB
    0.53
     classmates
    0.52
     slaves
    0.52
     president
    0.52
    Activations Density 0.132%

    No Known Activations