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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. 12768
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    Explanations

    technical terms related to programming and development, specifically those involving 'script' or 'update'

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific data or technical terms

    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
     unfor
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     ç¥ŀ
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     ABE
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     volatile
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    semble
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     awoken
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    nexus
    -0.57
     adoptive
    -0.57
     resentment
    -0.56
    >>>>>>>>
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    POSITIVE LOGITS
    ipt
    1.32
    icz
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    itude
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    ript
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    icket
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    angular
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    oday
    0.95
    oped
    0.94
    rop
    0.93
    ypes
    0.92
    Activations Density 0.011%

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