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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 8-RES-JB
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    Explanations

    references to the city of Flint, Michigan

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Flint and its associated issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.80
    mble
    -0.77
    CLASSIFIED
    -0.71
    ĸļ
    -0.70
    llor
    -0.70
     conclud
    -0.68
    */(
    -0.67
     Commando
    -0.67
    uner
    -0.65
    asin
    -0.64
    POSITIVE LOGITS
    stones
    1.26
    shire
    0.89
    stone
    0.88
     Flint
    0.86
    lock
    0.82
    idated
    0.82
    ridge
    0.82
    lings
    0.80
    street
    0.77
    brook
    0.77
    Activations Density 0.067%

    No Known Activations