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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of the city of Minneapolis

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Minneapolis."

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

    No Comments

    Negative Logits
     Britann
    -0.82
    arial
    -0.76
    ebook
    -0.74
    ition
    -0.67
    ucl
    -0.66
    oys
    -0.66
     vit
    -0.65
    arist
    -0.64
    ================================================================
    -0.63
    vor
    -0.63
    POSITIVE LOGITS
     Minneapolis
    1.00
    burgh
    0.93
    ĸļ
    0.88
    neapolis
    0.87
    erville
    0.86
    iewicz
    0.83
    boro
    0.82
     skyline
    0.81
    Minnesota
    0.79
    borough
    0.79
    Activations Density 0.005%

    No Known Activations