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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. 16853
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    Explanations

    words related to voting or polls

    oai_token-act-pair · gpt-3.5-turbo

    terms related to voting and polls

    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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    Negative Logits
    ptoms
    -0.75
     Afric
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     tremend
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     Flavoring
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     Kut
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     Faul
    -0.66
     Pilgrim
    -0.65
    clair
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    quite
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    vern
    -0.65
    POSITIVE LOGITS
    board
    0.85
     unanimously
    0.83
     cast
    0.82
    bot
    0.80
    âĺħâĺħ
    0.77
     polls
    0.75
    atory
    0.74
    votes
    0.73
    boards
    0.71
     approving
    0.71
    Activations Density 0.037%

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