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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 9715
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    Explanations

    references to iron, particularly in the context of deficiencies and their impact on health

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

    iron or iron deficiency

    np_acts-logits-general · gemini-2.0-flash

    iron and Fe

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wahrnehmung
    -0.37
    ampiyon
    -0.35
     immemorial
    -0.34
     Knoblauch
    -0.33
    งาม
    -0.33
     Spazier
    -0.32
    pers
    -0.31
     perspectiva
    -0.31
     ब्रेकडाउन
    -0.31
     Baumann
    -0.30
    POSITIVE LOGITS
     Iron
    1.12
    Iron
    1.07
     iron
    1.05
     IRON
    1.01
    IRON
    0.89
     Fe
    0.87
    iron
    0.86
     ferru
    0.79
     ironing
    0.77
     Ferro
    0.76
    Activations Density 0.212%

    No Known Activations