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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. 9-RES-JB
    11. 7051
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    Explanations

    phrases related to dates or numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical or numerical data, particularly those involving sequences or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ishing
    -0.87
    iday
    -0.81
    aries
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    ingham
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    izont
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    ishment
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    ition
    -0.78
    ership
    -0.77
    ishes
    -0.72
    ishers
    -0.72
    POSITIVE LOGITS
    393
    0.92
    teenth
    0.90
    UTH
    0.78
    00
    0.77
    asio
    0.74
     millenn
    0.72
    gpu
    0.71
    dayName
    0.67
    velop
    0.66
    âĹ¼
    0.66
    Activations Density 0.158%

    No Known Activations