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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. 9729
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    empty strings or pauses in the text

    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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    No Comments

    Negative Logits
     Vaugh
    -0.57
    luster
    -0.56
     Moroc
    -0.56
    abul
    -0.53
    iscovery
    -0.53
    agine
    -0.53
    obbies
    -0.53
     Royale
    -0.52
    agra
    -0.51
    vertis
    -0.51
    POSITIVE LOGITS
     embodiments
    0.57
     largeDownload
    0.54
     Xperia
    0.52
     Rey
    0.49
     GHC
    0.49
     Defendants
    0.48
    annabin
    0.48
    Nusra
    0.48
    soType
    0.47
    Jews
    0.46
    Activations Density 2.234%

    No Known Activations