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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 8235
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    modal verbs and their usage in German sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Und
    -0.49
    Und
    -0.49
     OND
    -0.47
     UND
    -0.45
     vnd
    -0.45
     commando
    -0.39
    UND
    -0.39
     Yours
    -0.39
    providedIn
    -0.39
     pinak
    -0.39
    POSITIVE LOGITS
     als
    0.71
     bei
    0.68
     im
    0.60
     auch
    0.59
     nur
    0.59
     auf
    0.58
     mit
    0.56
     beim
    0.56
     dem
    0.54
     zum
    0.54
    Activations Density 0.052%

    No Known Activations