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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. 10577
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    Explanations

    mentions of universities and colleges

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and their variations

    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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    Negative Logits
     USAF
    -0.43
    "]=>
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     âĵĺ
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     Sass
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     Cosponsors
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     Auckland
    -0.39
     bullish
    -0.38
    Gaza
    -0.37
    eni
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     Tsarnaev
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    POSITIVE LOGITS
    vil
    0.43
     guiIcon
    0.42
    otom
    0.42
    entimes
    0.41
    =-=-
    0.41
    POSE
    0.41
    requires
    0.41
    ÃĥÃĤ
    0.39
    interstitial
    0.39
    lite
    0.37
    Activations Density 4.610%

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