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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 13967
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    Explanations

    scientific terminology related to minerals and their biochemical processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BeginContext
    -0.49
     pajero
    -0.49
    ViewFeatures
    -0.42
     saffron
    -0.41
     defire
    -0.41
     tetrachloride
    -0.40
     propellant
    -0.38
    Select
    -0.38
     pers
    -0.37
     psycopg
    -0.37
    POSITIVE LOGITS
     calcium
    1.33
     Calcium
    1.25
    Calcium
    1.17
    calcium
    1.16
     lime
    1.02
     Ca
    0.98
     limestone
    0.91
     Lime
    0.91
     kalk
    0.91
     calcareous
    0.89
    Activations Density 0.579%

    No Known Activations