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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. 6-RES-JB
    11. 3723
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    Explanations

    phrases related to quotes or statements made by different individuals

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and formatting in conversations or quoted speech

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cube
    -0.83
    iband
    -0.77
    oshenko
    -0.70
    chev
    -0.64
    cision
    -0.64
    inav
    -0.61
    cies
    -0.60
    bard
    -0.60
    lease
    -0.59
    zinski
    -0.58
    POSITIVE LOGITS
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     [*]
    0.88
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    0.87
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    0.86
    Activations Density 0.307%

    No Known Activations