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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. 1-RES-JB
    11. 6823
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    Explanations

    documents containing specific substances or items of interest

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "containing" or "consisting."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bra
    -0.71
    lands
    -0.68
     Brookings
    -0.66
    ida
    -0.64
    bn
    -0.63
    tsy
    -0.62
    uda
    -0.62
     BCC
    -0.62
    flags
    -0.61
    bench
    -0.61
    POSITIVE LOGITS
     paran
    0.80
     containing
    0.77
     unsu
    0.77
     consisting
    0.75
    poons
    0.73
     exha
    0.73
     Pengu
    0.69
     adolesc
    0.68
     artif
    0.68
     suspic
    0.66
    Activations Density 0.032%

    No Known Activations