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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. 8-RES-JB
    11. 4942
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    Explanations

    names of various individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of notable individuals and characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     âĢİ
    -0.54
     comprom
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    interstitial
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    Reloaded
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     Sno
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    Continue
    -0.47
    Ü
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    ertodd
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     appl
    -0.46
     Kinnikuman
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    POSITIVE LOGITS
    pedia
    0.64
    fu
    0.56
    iev
    0.55
     Answers
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    Grid
    0.52
     Adren
    0.50
     reps
    0.48
    neath
    0.46
    athon
    0.46
    oward
    0.46
    Activations Density 0.697%

    No Known Activations