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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3100
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    Explanations

    the mineral "ite" or specific mineral-like names in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    $',
    -0.40
    hyrchwyd
    -0.38
    الدراسه
    -0.38
    MDB
    -0.37
    +#+#
    -0.37
    LookAnd
    -0.37
     Normdatei
    -0.35
    }\]
    -0.35
    fillType
    -0.35
     رف
    -0.35
    POSITIVE LOGITS
    ite
    1.25
    ITE
    0.98
    ites
    0.85
    rite
    0.78
    ITES
    0.75
    sprite
    0.69
     disambiguazione
    0.68
    lite
    0.66
    cite
    0.64
    dite
    0.64
    Activations Density 1.223%

    No Known Activations