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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. 6-RES-JB
    11. 4126
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    Explanations

    descriptions of products, such as card games or books

    oai_token-act-pair · gpt-3.5-turbo

    symbols and formatting related to lists or items in a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pex
    -0.70
    verse
    -0.70
    :"
    -0.70
    Ó
    -0.69
    conservancy
    -0.69
    regon
    -0.68
    abee
    -0.68
    ãĤ¤ãĥĪ
    -0.68
    ãĥ¼ãĤ¯
    -0.67
    Ô
    -0.66
    POSITIVE LOGITS
    quickShipAvailable
    0.88
     guiActiveUnfocused
    0.77
     Flavoring
    0.73
    etc
    0.67
     Destination
    0.64
     Laksh
    0.62
     etc
    0.61
    catentry
    0.61
     skyline
    0.60
     gulf
    0.59
    Activations Density 0.188%

    No Known Activations