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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. 5221
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    Explanations

    references to arms in anatomical or mechanical contexts

    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
     pleaſure
    -0.50
     myſelf
    -0.47
     navide
    -0.45
    Durata
    -0.44
    Battle
    -0.44
    Демографія
    -0.42
    ſelves
    -0.41
    flä
    -0.41
    kehren
    -0.40
     Battle
    -0.40
    POSITIVE LOGITS
     arm
    1.09
     arms
    0.76
     Arm
    0.75
    arm
    0.72
    Arm
    0.69
     Alloc
    0.69
     Allocation
    0.68
    armed
    0.68
     ALLOC
    0.67
    alloc
    0.66
    Activations Density 0.172%

    No Known Activations