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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. 4132
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    Explanations

    references to wooden materials and products, particularly in a craft or manufacturing context

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

    woodworking/wood-related items

    np_acts-logits-general · gemini-2.0-flash

    wood and woodworking

    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
    RenderAtEndOf
    -0.64
    łby
    -0.46
     mergeFrom
    -0.44
    ApiModelProperty
    -0.43
     determinación
    -0.40
     linkovi
    -0.40
    期刊论文
    -0.40
     Haltung
    -0.40
    ⓧ
    -0.40
     gostar
    -0.39
    POSITIVE LOGITS
     Wooden
    0.61
     wooden
    0.59
     woodworking
    0.55
    Wooden
    0.54
    wooden
    0.53
     деревя
    0.49
     carved
    0.48
     hardwood
    0.48
     carpenter
    0.47
    InputBorder
    0.46
    Activations Density 0.162%

    No Known Activations