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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13451
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    Explanations

    items of protective headgear, particularly helmets and hats, and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.44
     paw
    -0.43
     ICI
    -0.42
    piel
    -0.42
    BagConstraints
    -0.42
     ACL
    -0.42
    CBA
    -0.41
    BRL
    -0.41
    erráneo
    -0.41
    Rptr
    -0.41
    POSITIVE LOGITS
     helmet
    0.83
     helmets
    0.78
     header
    0.75
    helmet
    0.73
     casque
    0.72
     heads
    0.72
     Kopf
    0.71
     gorra
    0.71
     head
    0.71
     brain
    0.71
    Activations Density 0.619%

    No Known Activations