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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. 8714
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    Explanations

    names of individuals involved in legal and academic 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
    Хьажоргаш
    -0.52
     EUG
    -0.50
     LOR
    -0.46
     Hesper
    -0.46
    Gav
    -0.46
    restle
    -0.45
     Brag
    -0.44
     Gher
    -0.44
     Jamb
    -0.44
     Tric
    -0.44
    POSITIVE LOGITS
     Evans
    1.09
     Bennett
    1.08
     Moore
    1.08
     Thompson
    1.02
     Smith
    1.02
     Peterson
    0.99
     Johnson
    0.99
     Campbell
    0.98
     Davis
    0.98
     Adams
    0.96
    Activations Density 0.906%

    No Known Activations