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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8682
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    Explanations

    dates and years

    oai_token-act-pair · gpt-3.5-turbo

    specific years and statistics related to sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ansk
    -0.86
    abulary
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    CHQ
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    -0.67
    POSITIVE LOGITS
     Rookie
    1.15
    -'
    0.93
     season
    0.92
     offseason
    0.91
     playoffs
    0.91
     rookie
    0.89
     Playoffs
    0.86
     rookies
    0.86
     undrafted
    0.83
     MVP
    0.82
    Activations Density 0.108%

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