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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. 4-RES-JB
    11. 4038
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    Explanations

    words related to technological systems and errors in processing

    oai_token-act-pair · gpt-3.5-turbo

    references to system performance issues or degradations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wire
    -0.81
    ingen
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    ats
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     vulnerabilities
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    ichi
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    plates
    -0.58
     mailing
    -0.57
    handler
    -0.57
    idelines
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    ibel
    -0.56
    POSITIVE LOGITS
     appropriation
    0.80
    Interstitial
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    interstitial
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    è£
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    achus
    0.62
    mson
    0.62
     Khe
    0.61
    rl
    0.61
     Admission
    0.61
    Activations Density 0.000%

    No Known Activations