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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14718
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    Explanations

    scientific terminology related to biochemical processes and mineralization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     saffron
    -0.36
     plasma
    -0.36
     kirj
    -0.35
     defire
    -0.34
    Select
    -0.34
     houſe
    -0.32
     ballot
    -0.32
     perſ
    -0.32
     Ballot
    -0.30
     rosewood
    -0.30
    POSITIVE LOGITS
     calcium
    1.38
     Calcium
    1.32
    calcium
    1.25
    Calcium
    1.22
     Ca
    1.09
     lime
    1.06
     Lime
    1.01
    Ca
    0.97
     calcite
    0.96
     limestone
    0.93
    Activations Density 0.813%

    No Known Activations