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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 3901
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    Explanations

    references to 'fog' and related contextual discussions on climate engineering, specifically focusing on the concept of 'boosting'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    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
    -0.58
    ⓧ
    -0.57
     transférez
    -0.53
    gonic
    -0.46
     diamant
    -0.46
    binant
    -0.45
    Eloquent
    -0.45
     arrest
    -0.45
    oredCriteria
    -0.44
    AdapterView
    -0.44
    POSITIVE LOGITS
     fog
    1.00
     Fog
    0.81
    Fog
    0.77
     blur
    0.75
     boost
    0.75
    fog
    0.74
     Boost
    0.74
    boost
    0.69
    Boost
    0.65
     blurry
    0.65
    Activations Density 0.338%

    No Known Activations