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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. 1-RES-JB
    11. 21444
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    Explanations

    examples of large quantities or groups of people or things

    oai_token-act-pair · gpt-3.5-turbo

    quantitative references to large groups of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rift
    -0.76
    ces
    -0.71
    bid
    -0.68
     breath
    -0.64
    çĦ
    -0.64
    izons
    -0.63
    oses
    -0.63
    older
    -0.62
     privacy
    -0.62
    code
    -0.62
    POSITIVE LOGITS
    ĸļ
    1.00
    Thousands
    0.98
     Thousands
    0.91
     Hundreds
    0.84
    aurus
    0.81
    Hundreds
    0.77
     Dozens
    0.75
     Serving
    0.72
     msec
    0.72
     Protesters
    0.70
    Activations Density 0.020%

    No Known Activations