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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10071
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    INDEX
    Explanations

    various forms of the word "soft" and its associated adjectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zoom
    -0.53
     zoom
    -0.48
     copy
    -0.48
    copy
    -0.47
     para
    -0.47
     pickup
    -0.46
     pick
    -0.45
     Hoffman
    -0.43
     ZOOM
    -0.42
     Copy
    -0.41
    POSITIVE LOGITS
    Soft
    0.77
     faſt
    0.75
     Soft
    0.75
     zijne
    0.70
     itſelf
    0.70
    SOFT
    0.69
     themſelves
    0.67
    soft
    0.66
     SOFT
    0.65
    ſelves
    0.65
    Activations Density 0.184%

    No Known Activations