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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. 260
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    INDEX
    Explanations

    proper nouns, likely names of organizations or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to news organizations

    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
    ront
    -0.78
     mattered
    -0.65
    ificial
    -0.57
    akens
    -0.56
    ktop
    -0.55
    ezvous
    -0.54
    odied
    -0.53
    zees
    -0.53
     confront
    -0.53
    oward
    -0.51
    POSITIVE LOGITS
     datas
    0.85
    ,
    0.83
    :[
    0.83
     ,
    0.82
    ,[
    0.82
    ,,
    0.79
    *,
    0.73
     docs
    0.72
    %,
    0.72
     estimates
    0.71
    Activations Density 0.202%

    No Known Activations