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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. 3-RES-JB
    11. 20659
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    Explanations

    terms related to perfection or cleanliness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "perfect" or conditions of being perfect

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AAF
    -0.75
     Limbaugh
    -0.73
    ©¶æ
    -0.71
     sled
    -0.70
     Shattered
    -0.65
     Lans
    -0.64
     Lerner
    -0.62
    udder
    -0.62
     Heard
    -0.62
    itton
    -0.59
    POSITIVE LOGITS
    ures
    1.03
    nesses
    1.02
    fecture
    0.96
    ities
    0.93
    ship
    0.93
    ness
    0.90
    sylvania
    0.89
    s
    0.87
    orate
    0.86
    ion
    0.85
    Activations Density 0.017%

    No Known Activations