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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 24-LLAMASCOPE-RES-32K
    11. 12813
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    Explanations

    references to the Chevrolet and GMC vehicle models and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jacksonville
    -0.20
     Bender
    -0.16
    γκ
    -0.15
    unas
    -0.15
     Mercer
    -0.15
    TPL
    -0.15
    åĬŁ
    -0.15
     McKay
    -0.15
    ewis
    -0.15
    ojÃŃ
    -0.15
    POSITIVE LOGITS
     GM
    0.28
     Chevrolet
    0.28
     GMC
    0.25
    GM
    0.23
     Bowling
    0.23
     Cadillac
    0.23
     Chevy
    0.22
     Corvette
    0.22
     bow
    0.20
     Durant
    0.20
    Activations Density 0.042%

    No Known Activations