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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 25-LLAMASCOPE-RES-32K
    11. 11933
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    Explanations

    references to vehicle specifications and features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    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
     Mercer
    -0.15
    ège
    -0.15
     ฿
    -0.15
    TPL
    -0.15
     Leonardo
    -0.15
     Bender
    -0.15
    γκ
    -0.14
    yb
    -0.14
     ASUS
    -0.14
    POSITIVE LOGITS
     GM
    0.31
     Chevrolet
    0.29
    GM
    0.27
     GMC
    0.27
     Cadillac
    0.24
     Corvette
    0.22
     Chevy
    0.22
     Bowling
    0.21
    Che
    0.20
     Durant
    0.20
    Activations Density 0.038%

    No Known Activations