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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. 8-RES-JB
    11. 9031
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    Explanations

    moments in time or periods of duration

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ocl
    -0.70
    gall
    -0.68
     honoured
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    Registered
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    asc
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     Publications
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    legates
    -0.56
    erers
    -0.55
    ibrary
    -0.55
    SELECT
    -0.55
    POSITIVE LOGITS
     afterward
    0.90
     periods
    0.85
    maxwell
    0.83
     sake
    0.81
     afterwards
    0.81
     uninterrupted
    0.77
     eternity
    0.76
     longer
    0.76
    ube
    0.71
     before
    0.71
    Activations Density 0.121%

    No Known Activations