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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 5358
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    Explanations

    references to safety razors and their components

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

    "shaving" and "compensation"-related words

    np_acts-logits-general · gemini-2.0-flash

    shaving, compensation, regular expression

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ModelExpression
    -0.36
    MLLoader
    -0.35
     bak
    -0.32
    AndEndTag
    -0.32
    ię
    -0.31
     bag
    -0.31
     tip
    -0.30
    </i>
    -0.30
     beauty
    -0.29
     Ri
    -0.29
    POSITIVE LOGITS
    writeFieldEnd
    0.65
    elemField
    0.59
    HostException
    0.59
    parsedMessage
    0.59
    AddTagHelper
    0.58
     Normdatei
    0.57
    ViewImports
    0.56
    contentLoaded
    0.55
     FetchType
    0.53
    LookAnd
    0.53
    Activations Density 0.357%

    No Known Activations