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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. 6-RES-JB
    11. 7111
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    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical values and associated historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Tinder
    -0.68
     outweigh
    -0.67
    ilibrium
    -0.65
    ions
    -0.64
    xual
    -0.63
     answ
    -0.62
    sing
    -0.61
     Royale
    -0.61
     Sing
    -0.60
    uca
    -0.60
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    1.04
    ³³³³³³³³
    0.96
    ³³³
    0.88
    ³³³³
    0.86
    URA
    0.81
    Associated
    0.81
    ________________________________________________________________
    0.79
    Contents
    0.78
    Posted
    0.78
    Arch
    0.77
    Activations Density 0.482%

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