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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. 2-RES-JB
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of regulatory actions or decisions made by governing bodies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    auts
    -0.75
    bern
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    Sund
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    [[
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    cher
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    nec
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    url
    -0.64
    oult
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    Password
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    Balt
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    POSITIVE LOGITS
    abouts
    0.80
    soever
    0.72
    MpServer
    0.69
    £ı
    0.65
     injected
    0.65
    upon
    0.64
    inqu
    0.64
    EStreamFrame
    0.64
     revoked
    0.63
     challenged
    0.63
    Activations Density 0.000%

    No Known Activations