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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 911
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    Explanations

    phrases related to ocean and water activities, especially focusing on dangerous or risky situations

    oai_token-act-pair · gpt-3.5-turbo

    references to incidents involving danger at sea

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Denver
    -0.89
    ©¶æ
    -0.88
    ÅŁ
    -0.88
    à¦
    -0.85
     Nuggets
    -0.85
     Lerner
    -0.82
    È
    -0.80
     Lyons
    -0.79
    Chicago
    -0.78
     Patton
    -0.76
    POSITIVE LOGITS
     reefs
    1.92
     marine
    1.90
     ashore
    1.89
     sharks
    1.88
     dolphin
    1.88
     seaf
    1.87
     fishermen
    1.87
     shark
    1.86
     dolphins
    1.86
     ocean
    1.85
    Activations Density 1.207%

    No Known Activations