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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    surprise-related terms or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "surprise."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 2 - surprise

    No Comments

    Negative Logits
    ©¶æ
    -1.07
    nan
    -0.88
    bis
    -0.77
    lim
    -0.76
    igion
    -0.71
    İĭ
    -0.71
    ccording
    -0.71
    unal
    -0.69
    ippy
    -0.69
    uties
    -0.68
    POSITIVE LOGITS
     Surprise
    1.01
     surprise
    1.00
     surprises
    0.92
    ingly
    0.86
    ously
    0.77
    aneously
    0.75
     aloud
    0.75
     darling
    0.74
     onlook
    0.73
     Pon
    0.72
    Activations Density 0.019%

    No Known Activations