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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. 11-RES-JB
    11. 14220
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    Explanations

    metadata information or references typically found at the end of documents or papers

    oai_token-act-pair · gpt-3.5-turbo

    references to citation styles and bibliographic formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    mus
    -0.74
    ivism
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    ebus
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    ield
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    abouts
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    imus
    -0.62
    pend
    -0.62
    ffee
    -0.61
    yk
    -0.61
    nces
    -0.61
    POSITIVE LOGITS
     Hilbert
    0.61
    actionDate
    0.60
    VALUE
    0.58
    FactoryReloaded
    0.58
    Result
    0.57
    Sort
    0.57
     Stats
    0.57
    Īè
    0.56
    Statistics
    0.56
     Details
    0.55
    Activations Density 0.067%

    No Known Activations