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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
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    Explanations

    phrases related to the programming language Python

    oai_token-act-pair · gpt-3.5-turbo

    references to Python objects and related programming concepts

    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
    nesota
    -0.85
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    hips
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    -|
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    IAL
    -0.71
    ional
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     Bermuda
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    POSITIVE LOGITS
    ramids
    1.12
     Py
    1.06
    Py
    1.06
    ongyang
    0.99
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    0.90
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    0.88
    rote
    0.86
    oshenko
    0.80
    romancer
    0.79
    unte
    0.79
    Activations Density 0.011%

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