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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. 1-RES-JB
    11. 15631
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    Explanations

    mentions of technologies related to document reproduction

    oai_token-act-pair · gpt-3.5-turbo

    specific product names and technical terms related to photocopiers and cellulose

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.89
    emort
    -0.83
    ĪĴ
    -0.81
    icans
    -0.79
    illy
    -0.78
    eric
    -0.78
    etimes
    -0.77
    heon
    -0.77
    etts
    -0.76
    eree
    -0.76
    POSITIVE LOGITS
     Kod
    1.03
     photoc
    0.84
    æ©Ł
    0.72
     Xer
    0.72
    hiba
    0.72
     Kyoto
    0.70
     Mobility
    0.69
     Zig
    0.68
     kios
    0.67
     Kinnikuman
    0.67
    Activations Density 0.022%

    No Known Activations