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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. 3-RES-JB
    11. 23344
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    Explanations

    instances of the word "var" followed by a numerical value, potentially related to variables or versions within a context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific variables or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĨĴ
    -0.71
    ynthesis
    -0.66
     VIDEOS
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     Ãľ
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    ï¸ı
    -0.62
     offline
    -0.62
    æĸ¹
    -0.62
     Fundamental
    -0.60
    Reviewer
    -0.60
    DonaldTrump
    -0.59
    POSITIVE LOGITS
    isher
    1.10
    icum
    1.07
    ietal
    1.01
    ishment
    0.93
    ieties
    0.92
    alities
    0.90
    iety
    0.88
    istor
    0.87
    izable
    0.87
    abilia
    0.86
    Activations Density 0.009%

    No Known Activations