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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. 2434
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    Explanations

    specific types of wood and related construction materials

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

    before "posts"

    np_acts-logits-general · gemini-2.0-flash

    wood, posts, lumber

    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
    enumi
    -0.47
    NewUrlParser
    -0.45
    DockStyle
    -0.40
    DIPSETTING
    -0.39
    出版年
    -0.38
    sstream
    -0.38
     biß
    -0.38
    enumii
    -0.38
    nehå
    -0.37
    ArgsConstructor
    -0.37
    POSITIVE LOGITS
    ArrowToggle
    0.59
     tartalomajánló
    0.50
     myſelf
    0.47
     pinulongan
    0.47
     Monfieur
    0.46
     ویکی‌پدی
    0.45
     Lumber
    0.44
     lumber
    0.44
    erapeu
    0.41
    DataAnnotations
    0.41
    Activations Density 0.242%

    No Known Activations