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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. 4-RES-JB
    11. 19388
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    Explanations

    the word "int" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to financial technology and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    è¦ļéĨĴ
    -0.96
    mares
    -0.79
    gypt
    -0.79
    brates
    -0.72
    ¥µ
    -0.71
    phe
    -0.71
    SHIP
    -0.69
    days
    -0.68
    uphem
    -0.68
    phy
    -0.67
    POSITIVE LOGITS
    ellect
    1.02
    elligent
    0.90
    illation
    0.84
    uitive
    0.82
    angible
    0.79
    ér
    0.78
    ense
    0.77
    ypes
    0.76
    ieth
    0.76
    ensity
    0.75
    Activations Density 0.013%

    No Known Activations