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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. 1-RES-JB
    11. 8592
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    Explanations

    mentions of different web browsers, especially Internet Explorer

    oai_token-act-pair · gpt-3.5-turbo

    references to web browsers, specifically Internet Explorer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    erest
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    ulate
    -0.69
    Production
    -0.68
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    rint
    -0.67
    POSITIVE LOGITS
     Explorer
    1.44
     Skydragon
    0.86
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    0.85
     Annotations
    0.85
     Cookies
    0.81
     "$:/
    0.80
     Franç
    0.79
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    0.78
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    0.75
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    0.73
    Activations Density 0.011%

    No Known Activations