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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12411
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    Explanations

    quantitative data regarding measurements and concentrations in scientific contexts

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

    Values followed by "μ" or "micro"

    np_acts-logits-general · gemini-2.0-flash

    micro prefixes and units

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AspNetCore
    -0.60
    Xna
    -0.58
    CrossRef
    -0.56
     متعلقه
    -0.53
     TextInputType
    -0.53
     JScrollPane
    -0.53
    รรม
    -0.52
    RectangleBorder
    -0.52
    براير
    -0.52
    Portale
    -0.52
    POSITIVE LOGITS
     mg
    1.07
    mg
    1.04
     milligrams
    0.94
     micro
    0.82
     µ
    0.77
    micro
    0.75
    µ
    0.74
     ppm
    0.73
    μ
    0.72
     microm
    0.72
    Activations Density 0.665%

    No Known Activations