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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. 15446
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     Mahjong
    -0.62
     Denis
    -0.58
    say
    -0.57
     Shim
    -0.57
     Sabb
    -0.57
    Apps
    -0.55
    Ore
    -0.55
     Dia
    -0.54
    Shell
    -0.53
     Sandwich
    -0.53
    POSITIVE LOGITS
     someday
    0.88
    ivably
    0.76
    chev
    0.76
    ewski
    0.75
    TAIN
    0.71
    loo
    0.70
     depending
    0.69
    rued
    0.68
     tempted
    0.67
    depending
    0.67
    Activations Density 0.220%

    No Known Activations