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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. 20357
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    Explanations

    words related to concepts or ideas described in theory

    oai_token-act-pair · gpt-3.5-turbo

    discussions of theoretical concepts and principles

    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
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    Negative Logits
     Clicker
    -0.78
    cro
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    r
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    æѦ
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     Surge
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    ments
    -0.64
    rus
    -0.63
    vy
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    rl
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    vic
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    POSITIVE LOGITS
     theoretically
    0.83
     guise
    0.72
    ©¶æ
    0.71
    othal
    0.68
    aido
    0.66
    istically
    0.66
     overnight
    0.65
    uthor
    0.64
    adem
    0.64
    icably
    0.63
    Activations Density 0.031%

    No Known Activations