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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 5398
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    Explanations

    references to mountains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fédé
    -0.56
     sabias
    -0.47
    optionalTypeArgs
    -0.47
     mergeFrom
    -0.45
     spē
    -0.44
    ьаж
    -0.44
     szary
    -0.43
     cópia
    -0.43
     acrílico
    -0.43
     irmã
    -0.43
    POSITIVE LOGITS
     Mountain
    1.37
    Mountain
    1.29
     mount
    1.20
     mont
    1.20
    Mont
    1.19
     MOUNTAIN
    1.19
     Mont
    1.16
     mountain
    1.16
     Mount
    1.09
     mounts
    1.09
    Activations Density 0.283%

    No Known Activations