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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. 10-RES-JB
    6. 21191
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to technology, development, and societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.59
    ajor
    -0.55
     Lv
    -0.53
     nomine
    -0.49
     0004
    -0.48
     Osw
    -0.48
    Morning
    -0.47
     acknow
    -0.44
     compr
    -0.44
    ortment
    -0.43
    POSITIVE LOGITS
    *,
    1.13
    ?,
    1.12
    ,[
    1.03
     (),
    1.02
    ,...
    0.98
    /,
    0.98
     ,
    0.96
    $,
    0.95
    ,
    0.93
    +,
    0.91
    Activations Density 0.975%

    No Known Activations