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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. 7-RES-JB
    11. 24569
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    Explanations

    references to downloading digital content or software

    oai_token-act-pair · gpt-3.5-turbo

    terms related to downloading digital content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    mare
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    ewitness
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    orney
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    wl
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    idates
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    asha
    -0.63
    anship
    -0.63
    amination
    -0.63
    uate
    -0.61
    POSITIVE LOGITS
     downloads
    0.92
    DragonMagazine
    0.92
    sites
    0.80
    archive
    0.80
     downloaded
    0.79
     Download
    0.76
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    0.75
    ographers
    0.75
     quantity
    0.75
     downloading
    0.75
    Activations Density 0.018%

    No Known Activations