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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 21653
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    Explanations

    code snippets or programming-related text

    oai_token-act-pair · gpt-3.5-turbo

    structured programming elements and outputs related to coding or computer programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤ´ãĥ³
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    arnaev
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     respectively
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    arthed
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    surprisingly
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    rawled
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    +.
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    Pg
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    described
    -0.48
    xtap
    -0.47
    POSITIVE LOGITS
    %"
    1.21
    .")
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     ..."
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     â̦"
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    "]
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    Activations Density 1.994%

    No Known Activations