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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the city "Minsk" in the document

    oai_token-act-pair · gpt-3.5-turbo

    references to the Minsk agreements and related geopolitical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cro
    -0.66
     mob
    -0.66
     generations
    -0.66
     tax
    -0.65
     Justice
    -0.65
     poly
    -0.64
     Choice
    -0.63
     rem
    -0.62
     fast
    -0.62
     mon
    -0.61
    POSITIVE LOGITS
    insk
    4.68
    etsk
    1.40
    insky
    1.39
     Belarus
    1.29
    ansk
    1.26
    achev
    1.23
     Donetsk
    1.20
    henko
    1.17
     Kiev
    1.13
    inski
    1.10
    Activations Density 0.012%

    No Known Activations