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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. 4-RES-JB
    11. 16103
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    Explanations

    dates and locations expressed in ordinal form

    oai_token-act-pair · gpt-3.5-turbo

    ordinal numbers

    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
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    No Comments

    Negative Logits
     Canaver
    -0.89
    Statistics
    -0.70
    Downloadha
    -0.62
    mble
    -0.61
     Gould
    -0.59
    rawdownloadcloneembedreportprint
    -0.59
    ious
    -0.59
    zai
    -0.58
    toc
    -0.58
     Kafka
    -0.58
    POSITIVE LOGITS
    ulhu
    0.83
    oppers
    0.82
    opped
    0.80
    wait
    0.79
    ieves
    0.73
    ursday
    0.73
    ousand
    0.72
    acia
    0.71
    orne
    0.69
     foremost
    0.68
    Activations Density 0.047%

    No Known Activations