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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10988
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    Explanations

    references to casual attire and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olyb
    -0.43
     caminhão
    -0.42
    phthal
    -0.41
     mengh
    -0.41
    parseColor
    -0.41
     violins
    -0.40
     ancients
    -0.40
     Symptome
    -0.40
     lightsaber
    -0.40
     scams
    -0.39
    POSITIVE LOGITS
     casual
    2.36
    casual
    2.17
     Casual
    2.06
    Casual
    1.99
     casually
    1.75
     relaxed
    1.33
     décontract
    1.20
     Relaxed
    1.13
     informal
    1.13
    カジュアル
    1.10
    Activations Density 0.096%

    No Known Activations