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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8835
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    Explanations

    terms related to food insecurity and malnutrition, particularly in specific vulnerable populations

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

    micronutrient deficiencies and nutritional health problems.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MLLoader
    -0.57
    fjspx
    -0.44
    MethodManager
    -0.43
    AnchorTagHelper
    -0.39
    BeginContext
    -0.38
    +:+
    -0.38
     feathers
    -0.38
    ตุ
    -0.38
    istoitu
    -0.37
     comfort
    -0.37
    POSITIVE LOGITS
    itattu
    0.52
    UNICEF
    0.49
     الرياضيه
    0.48
     UNICEF
    0.47
     Child
    0.46
     estekak
    0.46
     diarrhoea
    0.44
     Immun
    0.43
     Programme
    0.43
     Programmes
    0.43
    Activations Density 0.297%

    No Known Activations