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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. 6-RES-JB
    11. 17100
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    Explanations

    mentions of locations, particularly the city of Minneapolis

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Minneapolis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    redo
    -0.85
     Scotia
    -0.72
    ning
    -0.71
     Penet
    -0.70
    ICAN
    -0.67
    uchin
    -0.67
    oiler
    -0.63
     Tags
    -0.63
    APE
    -0.62
    binary
    -0.61
    POSITIVE LOGITS
    ĸļ
    0.97
    kens
    0.90
    borough
    0.89
    neapolis
    0.85
    paces
    0.84
    erville
    0.83
    hip
    0.82
    pace
    0.80
    olulu
    0.79
    omes
    0.78
    Activations Density 0.051%

    No Known Activations