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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. 10-RES-JB
    11. 12574
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    Explanations

    dates in the format of month and year

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and references to historical events or publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     aforementioned
    -0.70
    anwhile
    -0.64
     offending
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     disag
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     skelet
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     afterward
    -0.61
     indistinguishable
    -0.61
     similarly
    -0.59
    entimes
    -0.59
     hurd
    -0.59
    POSITIVE LOGITS
     âĢº
    1.25
     SHARES
    0.92
     Posted
    0.90
     Profile
    0.89
    ↵Âł
    0.88
    Welcome
    0.87
     Transcript
    0.87
     âĢİ
    0.87
     Updated
    0.85
    Introduction
    0.85
    Activations Density 0.694%

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