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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 11056
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    Explanations

    references to weapons and arming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Patch
    -0.47
     patches
    -0.45
     ?>/
    -0.43
     MPL
    -0.42
     Vist
    -0.42
     Patches
    -0.41
    crawl
    -0.41
     Layton
    -0.40
     Priory
    -0.40
     Jeffries
    -0.40
    POSITIVE LOGITS
     weapon
    1.32
     Weapon
    1.23
    Weapon
    1.22
    weapon
    1.20
    Weapons
    1.18
     weapons
    1.18
    weapons
    1.15
     Weapons
    1.10
     armas
    1.09
     armed
    1.06
    Activations Density 0.193%

    No Known Activations