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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 10825
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    Explanations

    phrases related to outdoor activities, particularly biking and walking trails

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     يتيمه
    -0.64
     actionTypes
    -0.44
     ModelExpression
    -0.43
    sizeCache
    -0.42
     createSlice
    -0.42
    aktery
    -0.40
     snippetHide
    -0.39
    RenderAtEndOf
    -0.39
    KommentareTeilen
    -0.38
    tgär
    -0.38
    POSITIVE LOGITS
     walking
    0.87
     Spazier
    0.85
     walk
    0.84
     WALK
    0.80
     promen
    0.80
     walks
    0.79
     stroll
    0.76
     Walk
    0.74
     Walking
    0.73
    Walk
    0.71
    Activations Density 0.367%

    No Known Activations