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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 6244
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    Explanations

    terms related to micronutrient deficiencies in populations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    OGND
    -0.54
    Personendaten
    -0.46
     Administrativna
    -0.45
    ьаж
    -0.43
     BoxFit
    -0.43
     attachment
    -0.43
     attachments
    -0.42
    ांकि
    -0.42
    XtraBars
    -0.41
    힣
    -0.41
    POSITIVE LOGITS
     poverty
    0.66
     problemática
    0.59
     alarming
    0.58
     worsening
    0.58
     rampant
    0.58
     проблема
    0.56
     deplorable
    0.56
     problems
    0.55
     problém
    0.54
     problem
    0.54
    Activations Density 0.622%

    No Known Activations