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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. 6346
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    Explanations

    references to habitat characteristics and implications for wildlife

    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
    doped
    -0.43
    SourceChecksum
    -0.42
     handcuffs
    -0.41
    smiley
    -0.36
     medal
    -0.36
    smile
    -0.35
    Medal
    -0.35
     Caballero
    -0.34
    officially
    -0.34
    waltung
    -0.34
    POSITIVE LOGITS
     prey
    0.92
    prey
    0.77
     predation
    0.71
     foraging
    0.70
     food
    0.68
     Prey
    0.67
     predators
    0.66
     nesting
    0.65
     burrow
    0.64
     habitat
    0.64
    Activations Density 0.476%

    No Known Activations