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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
    11. 3200
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    Explanations

    mentions of various types of rooms and their characteristics in a hospitality context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĽĨåĽ¢
    -0.17
    eum
    -0.17
    abeth
    -0.16
    apl
    -0.15
    /remove
    -0.15
    -INF
    -0.15
     gated
    -0.15
    qrt
    -0.15
    ut
    -0.15
    burger
    -0.15
    POSITIVE LOGITS
    mates
    0.30
     temperature
    0.21
    sWith
    0.20
    (Room
    0.19
    mate
    0.19
    /lab
    0.18
    iest
    0.18
    lain
    0.18
    ful
    0.17
    liest
    0.17
    Activations Density 0.050%

    No Known Activations