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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 14060
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    Explanations

    mentions of police and law enforcement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    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
    -0.60
    SerializedName
    -0.54
    BufferException
    -0.52
    ResumeLayout
    -0.49
     doInBackground
    -0.48
     nakalista
    -0.45
     StyleSheet
    -0.45
    ştir
    -0.42
    PostExecute
    -0.42
    runOn
    -0.40
    POSITIVE LOGITS
     police
    1.88
     Police
    1.74
     POLICE
    1.70
    police
    1.67
    Police
    1.64
     policemen
    1.38
     detective
    1.34
     Detective
    1.32
     policía
    1.30
     Patrol
    1.30
    Activations Density 0.359%

    No Known Activations