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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. 4-RES-JB
    11. 11230
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    Explanations

    specific mentions of Internet Explorer versions

    oai_token-act-pair · gpt-3.5-turbo

    references to "Internet Explorer" (IE) in the context of technical discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ities
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    itation
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    oran
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    idad
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    POSITIVE LOGITS
    LECT
    1.12
    FER
    0.85
    LL
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    HL
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    TOR
    0.77
    CTV
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    utenant
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    VE
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    FS
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    AF
    0.74
    Activations Density 0.007%

    No Known Activations