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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. 7-RES-JB
    11. 14733
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    Explanations

    mentions of ordinal numbers indicating position (e.g., 1st, 2nd, 3rd)

    oai_token-act-pair · gpt-3.5-turbo

    ordinal numbers and their derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Canaver
    -0.83
    mbuds
    -0.74
    Downloadha
    -0.71
    bath
    -0.68
    free
    -0.68
    iannopoulos
    -0.67
    ucci
    -0.65
    auna
    -0.64
    enne
    -0.63
    etting
    -0.62
    POSITIVE LOGITS
     Circuit
    0.92
     installment
    0.91
     Amendment
    0.90
     percentile
    0.88
     inning
    0.88
    ousand
    0.87
     grad
    0.84
    ividual
    0.80
     Anniversary
    0.77
    irty
    0.77
    Activations Density 0.047%

    No Known Activations