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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15618
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    Explanations

    references to individuals involved in criminal activities or gang-related incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     createState
    -0.41
    ScopeManager
    -0.40
     pł
    -0.39
    ,:)
    -0.38
    RTEX
    -0.36
    下载附件
    -0.36
     приз
    -0.35
     diagno
    -0.35
     merve
    -0.34
     opty
    -0.34
    POSITIVE LOGITS
     gang
    1.53
     gangs
    1.44
     gangster
    1.34
     gangsters
    1.32
    gang
    1.16
     Gang
    1.16
    Gang
    1.09
     underworld
    1.06
     mafia
    1.04
    gangs
    0.96
    Activations Density 0.532%

    No Known Activations