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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7156
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    references to rats in research contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theoremstyle
    -0.43
    Ӕ
    -0.40
     resourceCulture
    -0.40
    featureID
    -0.38
    MessageTagHelper
    -0.38
     eorum
    -0.36
     quæ
    -0.36
     yanı
    -0.35
    AddTagHelper
    -0.35
    يكب
    -0.34
    POSITIVE LOGITS
     rat
    1.44
    rat
    1.42
    Rat
    1.28
     Rat
    1.27
     RAT
    1.13
    RAT
    1.13
    lat
    1.11
    vat
    1.08
    tat
    1.05
    dat
    1.00
    Activations Density 0.435%

    No Known Activations