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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. 5462
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    Explanations

    timestamp-like patterns

    oai_token-act-pair · gpt-3.5-turbo

    numeric sequences or codes

    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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     tradem
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     tremend
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     strand
    -0.66
    ThumbnailImage
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    ãĥ¼ãĥĨ
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     perme
    -0.64
    ailability
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    POSITIVE LOGITS
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    :{
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    0.75
     <@
    0.73
     partName
    0.71
    Activations Density 0.038%

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