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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 4703
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    Explanations

    references to various types of crimes, particularly theft and robbery

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

    crimes like robbery or burglary

    np_acts-logits-general · gemini-2.0-flash

    robbery and burglary

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lingkungan
    -0.49
     trouw
    -0.46
    UnknownFields
    -0.42
     voordeel
    -0.42
     parachoque
    -0.41
     keluarganya
    -0.41
     catto
    -0.40
     ativa
    -0.40
     wikipagina
    -0.40
     isolado
    -0.39
    POSITIVE LOGITS
     robbery
    0.93
     robbers
    0.78
     heist
    0.77
     robbing
    0.77
     thief
    0.76
     theft
    0.76
     robberies
    0.75
     robber
    0.75
     burglar
    0.71
     burglary
    0.70
    Activations Density 0.271%

    No Known Activations