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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. 9-RES-JB
    11. 13253
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    Explanations

    proper nouns and names of people or places that are mentioned in news articles

    oai_token-act-pair · gpt-3.5-turbo

    sources of information or references in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ront
    -0.66
    ktop
    -0.65
     mattered
    -0.59
    ificial
    -0.59
    ezvous
    -0.59
    sg
    -0.54
    akens
    -0.53
    pox
    -0.53
     confronts
    -0.52
    cause
    -0.52
    POSITIVE LOGITS
    ,[
    0.81
    :[
    0.78
    ,
    0.76
    ,,
    0.76
    %,
    0.71
     datas
    0.71
     ,
    0.70
    *,
    0.68
    ,.
    0.67
    :
    0.66
    Activations Density 0.244%

    No Known Activations