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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8749
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    terms related to military vehicles and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Superhost
    -0.50
     Photocase
    -0.44
    stdc
    -0.44
    DockStyle
    -0.41
    TagHelper
    -0.41
     Airline
    -0.40
     Airlines
    -0.40
    pushFollow
    -0.40
    Pyx
    -0.40
    hythm
    -0.38
    POSITIVE LOGITS
     tank
    1.43
     tanks
    1.27
     Tank
    1.13
    tank
    1.11
    Tank
    1.11
     Tanks
    1.04
    Tanks
    1.02
    tanks
    0.99
     TANK
    0.97
     tanque
    0.96
    Activations Density 0.166%

    No Known Activations