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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 29-LLAMASCOPE-RES-32K
    6. 21484
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    Explanations

    incidents related to fires and their consequences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 29-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L29R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.29.hook_resid_post
    Hook Layer
    29
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     firing
    -0.21
     Fires
    -0.21
     Fired
    -0.18
     fired
    -0.18
     fireplace
    -0.16
     fires
    -0.16
     Bomb
    -0.15
     Fireplace
    -0.15
    fires
    -0.15
    bru
    -0.14
    POSITIVE LOGITS
     structure
    0.21
     Structure
    0.20
     structural
    0.20
     crews
    0.18
     Spread
    0.18
    Structure
    0.18
     Structural
    0.17
     estruct
    0.17
     spread
    0.16
     infer
    0.16
    Activations Density 0.025%

    No Known Activations