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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 14004
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    INDEX
    Explanations

    questions and discussions about causality and understanding processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Question words ("how", "why", "what", "where")

    np_acts-logits-general · gemini-2.0-flash

    how, why, what after 'and'

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ophenyl
    -0.44
     FREE
    -0.43
     free
    -0.43
     Civil
    -0.43
     dom
    -0.42
    gnes
    -0.42
     vrt
    -0.42
     ut
    -0.42
     challenge
    -0.41
     Free
    -0.41
    POSITIVE LOGITS
     how
    1.46
    how
    1.20
     why
    1.15
    why
    1.04
     what
    1.01
    what
    1.00
     cómo
    0.99
     HOW
    0.96
     How
    0.94
     cuánto
    0.93
    Activations Density 0.228%

    No Known Activations