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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. 7-RES-JB
    11. 3775
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    Explanations

    references to APIs in technical contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to application programming interfaces (APIs)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    lihood
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    pard
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    nar
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    pend
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    stand
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    POSITIVE LOGITS
    KEN
    0.96
    istry
    0.85
    BILITIES
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     Gateway
    0.84
     endpoint
    0.82
     Token
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     CLIENT
    0.80
     specification
    0.80
    hod
    0.79
     API
    0.79
    Activations Density 0.013%

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