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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. 3313
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    Explanations

    terms related to different types of grains and starches

    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
    DotNetBar
    -0.50
     Administração
    -0.47
    RefNanny
    -0.43
    NSUInteger
    -0.40
     Girard
    -0.40
    GEBURTSDATUM
    -0.39
     MacMillan
    -0.39
    SuppressLint
    -0.39
     Schrö
    -0.38
    IndentedString
    -0.38
    POSITIVE LOGITS
     wheat
    1.27
     corn
    1.25
     grain
    1.20
     rice
    1.11
     Wheat
    1.09
     Grain
    1.08
    wheat
    1.07
    grain
    1.06
     Corn
    1.05
    Grain
    1.05
    Activations Density 0.427%

    No Known Activations