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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. 8-RES-JB
    11. 17978
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    Explanations

    dates in different formats

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     predec
    -0.59
    dinand
    -0.57
    edIn
    -0.57
     undermin
    -0.55
    ogether
    -0.54
     recourse
    -0.54
    Empty
    -0.53
     nearest
    -0.53
     Vaugh
    -0.52
     rightful
    -0.51
    POSITIVE LOGITS
     RELEASE
    0.62
     OnePlus
    0.61
    DragonMagazine
    0.61
    ISON
    0.58
     Xiaomi
    0.58
     UKIP
    0.58
     ):
    0.57
    actionDate
    0.57
     Motorola
    0.57
     Samsung
    0.52
    Activations Density 0.266%

    No Known Activations