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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14116
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    Explanations

    terms related to predictive, adaptive, and constructive characteristics in data analysis

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

    ending in "ive," "tive," "ative."

    np_acts-logits-general · gemini-2.0-flash

    qualities ending in -ive / -tive

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tvguidetime
    -0.64
    ltä
    -0.56
     يتيمه
    -0.52
    estä
    -0.51
     setIs
    -0.50
    ioutil
    -0.49
    rungsseite
    -0.48
     IndexPath
    -0.47
     setPassword
    -0.47
    uxxxx
    -0.47
    POSITIVE LOGITS
    ive
    0.54
    ative
    0.50
    tive
    0.49
    IVE
    0.45
    itive
    0.45
    neurial
    0.44
    y
    0.43
    적인
    0.43
     nature
    0.42
    ulative
    0.42
    Activations Density 0.517%

    No Known Activations