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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. 6-RES-JB
    6. 19520
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    oai_token-act-pair · gpt-3.5-turbo

    numerical data and values, particularly those related to identification or classification

    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
     Faul
    -0.65
    SPONSORED
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    034
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    iqu
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    -0.57
     divisions
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    319
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     Coch
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     Jiu
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    POSITIVE LOGITS
     partName
    0.71
    scill
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    nown
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    Reviewer
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    0.63
    itchie
    0.62
    iculty
    0.61
    å¹
    0.60
    DERR
    0.60
    Activations Density 0.161%

    No Known Activations