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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4671
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    Explanations

    names of individuals involved in criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Muir
    -0.42
    pushFollow
    -0.40
    근
    -0.39
    InjectAttribute
    -0.38
     dimenti
    -0.38
     ModelExpression
    -0.38
    Synonymes
    -0.37
    Tax
    -0.37
    gnore
    -0.37
    task
    -0.36
    POSITIVE LOGITS
     culpable
    0.50
     arrested
    0.48
     StatelessWidget
    0.46
     verantwoorde
    0.46
     responsible
    0.45
     accountable
    0.45
     guilty
    0.45
     indicted
    0.44
    ProcessEvent
    0.44
     numberWith
    0.43
    Activations Density 0.521%

    No Known Activations