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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 4227
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    INDEX
    Explanations

    mentions of blades and knives, particularly in contexts related to injury or surgery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jspb
    -0.44
    lindungan
    -0.39
    OptionPane
    -0.38
     informée
    -0.37
     Cach
    -0.35
     Spotted
    -0.35
     TextAlign
    -0.34
     yym
    -0.34
    hoeddwyd
    -0.34
    ★★★★☆
    -0.34
    POSITIVE LOGITS
     blade
    0.93
     knife
    0.91
     sword
    0.90
     knives
    0.85
    Blade
    0.84
     blades
    0.83
     Blade
    0.82
    blade
    0.81
    sword
    0.79
    knife
    0.79
    Activations Density 1.386%

    No Known Activations