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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. 2337
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    Explanations

    references to firearms and weapons in violent contexts

    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
     fresas
    -0.40
     mergeFrom
    -0.38
    Blockly
    -0.35
    ➟
    -0.35
     ką
    -0.35
    JsonHelper
    -0.34
     sesi
    -0.33
    TableHead
    -0.33
     atendido
    -0.33
    MessageTagHelper
    -0.33
    POSITIVE LOGITS
     guns
    2.30
     weapons
    2.27
     gun
    2.17
     weapon
    2.11
     firearms
    2.06
     firearm
    1.94
    guns
    1.93
    weapons
    1.91
    weapon
    1.85
     Weapons
    1.84
    Activations Density 0.431%

    No Known Activations