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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 8431
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    Explanations

    references to grains and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     linkovi
    -0.56
     esternos
    -0.49
    reathable
    -0.47
    PopUp
    -0.47
    gorro
    -0.46
    ecuted
    -0.45
     toilets
    -0.45
     burg
    -0.44
     ostavi
    -0.44
     Poo
    -0.44
    POSITIVE LOGITS
     grain
    0.98
     Grain
    0.88
    Grain
    0.81
    grain
    0.77
     grains
    0.77
    grains
    0.66
     artifact
    0.66
     Grains
    0.65
     credentials
    0.59
     Gear
    0.56
    Activations Density 0.140%

    No Known Activations