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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. 10-RES-JB
    11. 16380
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    Explanations

    mentions of events or actions happening on or near the ocean

    oai_token-act-pair · gpt-3.5-turbo

    references to deaths and casualties at sea

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Denver
    -0.94
    à¦
    -0.90
    Chicago
    -0.83
    ©¶æ
    -0.82
    ertodd
    -0.81
     CPS
    -0.80
    ÅŁ
    -0.79
    actionDate
    -0.78
    abis
    -0.77
     Nuggets
    -0.75
    POSITIVE LOGITS
     ashore
    2.01
     boats
    1.97
     sail
    1.93
     boat
    1.92
     sea
    1.84
     sailing
    1.84
     sailors
    1.83
     seaf
    1.80
     seaw
    1.80
     maritime
    1.79
    Activations Density 0.772%

    No Known Activations