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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. 6-RES-JB
    11. 21918
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    Explanations

    terms related to official documents or analyses

    oai_token-act-pair · gpt-3.5-turbo

    references to reports and analyses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    姫
    -0.64
    ouple
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    oke
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    ordinate
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    ardless
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     ga
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    asper
    -0.58
    rarily
    -0.58
    greSQL
    -0.57
    ovy
    -0.57
    POSITIVE LOGITS
    ãĥ¼ãĤ¯
    0.72
    ings
    0.68
    SPONSORED
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    tracks
    0.65
    warts
    0.64
     Dreams
    0.63
     Rooms
    0.63
    ORTS
    0.61
    hops
    0.58
     Brill
    0.58
    Activations Density 0.466%

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