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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. 16537
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    Explanations

    computer terms or associations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Under" followed by various numbers

    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
    ãĥ£
    -0.65
     scares
    -0.64
     hereafter
    -0.64
     Retrieved
    -0.62
    ãĥīãĥ©ãĤ´ãĥ³
    -0.60
    itaire
    -0.58
    apons
    -0.58
     produ
    -0.57
    isma
    -0.57
     fingerprint
    -0.57
    POSITIVE LOGITS
    neath
    1.45
    graduate
    1.30
    stood
    1.29
    lying
    1.17
    cover
    1.14
    stand
    1.10
    taker
    1.09
    rated
    1.08
    mining
    1.08
    statement
    1.08
    Activations Density 0.038%

    No Known Activations