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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. 7-RES-JB
    6. 12976
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    Explanations

    references to written documents or notes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "memo."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reek
    -0.74
    places
    -0.69
    ulia
    -0.68
    gain
    -0.67
    effic
    -0.66
     Fen
    -0.63
     Tune
    -0.62
    adjusted
    -0.61
    sburgh
    -0.61
    ruck
    -0.61
    POSITIVE LOGITS
    andum
    1.10
     memo
    1.07
    isode
    0.90
     memos
    0.88
    ographed
    0.88
     outlining
    0.83
     issued
    0.82
     circulated
    0.79
    izational
    0.79
    izes
    0.78
    Activations Density 0.042%

    No Known Activations