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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. 2-RES-JB
    11. 681
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    Explanations

    the adjective "trivial"

    oai_token-act-pair · gpt-4-turbo

    negative or dismissive words related to importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    words and concepts related to triviality and insignificance

    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
    Not in Any Lists

    No Comments

    Negative Logits
    elson
    -0.75
    ioch
    -0.75
    artney
    -0.74
    anwhile
    -0.68
    olan
    -0.66
    andr
    -0.64
    hner
    -0.64
    oother
    -0.62
     largeDownload
    -0.62
     Seeking
    -0.62
    POSITIVE LOGITS
    ities
    1.01
    ity
    0.95
     trivial
    0.95
    itized
    0.93
    ified
    0.92
    ifiable
    0.90
    istically
    0.89
    ization
    0.89
    izes
    0.85
     inconven
    0.83
    Activations Density 0.011%

    No Known Activations