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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 1931
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    Explanations

    themes related to nutrition and food security issues

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

    Micronutrient deficiency/negative impacts

    np_acts-logits-general · gemini-2.0-flash

    negative outcomes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.72
    canestro
    -0.65
    delwed
    -0.65
    Autoritní
    -0.64
     verſch
    -0.61
    OGND
    -0.61
     tartalomajánló
    -0.59
    ðsíða
    -0.58
    pingente
    -0.58
    ſelben
    -0.57
    POSITIVE LOGITS
     worse
    0.75
    Worse
    0.75
     worst
    0.74
     Worse
    0.63
     agrav
    0.62
     causes
    0.62
     harmful
    0.61
     peor
    0.61
     worsened
    0.60
    worse
    0.60
    Activations Density 1.035%

    No Known Activations