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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 8344
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    terms related to minerals and their presence in food and health contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ujednoznacz
    -0.40
    invokeLater
    -0.40
    PhysRevLett
    -0.39
    arran
    -0.36
    LEncoder
    -0.36
    HomeComponent
    -0.36
    wanne
    -0.35
     Rectangular
    -0.35
    arrange
    -0.35
    akhstan
    -0.35
    POSITIVE LOGITS
     tissues
    0.60
     cervello
    0.51
    (!__
    0.47
     alimentos
    0.46
     fruits
    0.46
    󠁣
    0.46
     propOrder
    0.46
     cell
    0.46
     voeding
    0.45
    elemField
    0.45
    Activations Density 1.332%

    No Known Activations