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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. 5-RES-JB
    6. 2570
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    Explanations

    quotations

    oai_token-act-pair · gpt-3.5-turbo

    references to media sources and credible information regarding discussions or reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ptoms
    -0.51
    RPG
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    arthed
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     nodded
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    surprisingly
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    rosso
    -0.45
    ãĤ´ãĥ³
    -0.44
    etheless
    -0.44
     «
    -0.43
    fy
    -0.43
    POSITIVE LOGITS
     ..."
    1.53
    %"
    1.51
     â̦"
    1.45
    .")
    1.44
    )"
    1.36
    )",
    1.33
    ")
    1.25
    ");
    1.23
    ..."
    1.23
    '"
    1.23
    Activations Density 3.061%

    No Known Activations