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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. 2230
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    Explanations

    names of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    names and titles of individuals or groups mentioned in a context

    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
    enegger
    -0.74
    kson
    -0.69
     thereafter
    -0.67
     afterward
    -0.65
     [*
    -0.64
     pse
    -0.63
    jri
    -0.62
    İĭ
    -0.62
    ierrez
    -0.62
    anwhile
    -0.62
    POSITIVE LOGITS
     Brewing
    0.76
    Wiki
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    Coin
    0.72
    coin
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    reetings
    0.67
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    Arcade
    0.65
    Disk
    0.64
     Album
    0.64
    Game
    0.63
    Activations Density 0.577%

    No Known Activations