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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. 20861
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    Explanations

    phrases related to requirements, challenges, and actions needed for projects to progress or succeed

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to governance and policy implementation

    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
    soType
    -0.80
     derog
    -0.66
     representations
    -0.65
     Nom
    -0.64
    versions
    -0.63
     reprim
    -0.62
     behaved
    -0.62
    ings
    -0.62
    RAW
    -0.61
     commented
    -0.59
    POSITIVE LOGITS
     ardu
    1.17
     requires
    1.14
     tricky
    1.09
     daunting
    1.06
     entails
    1.01
     involves
    1.01
     require
    0.99
     uphill
    0.99
    requires
    0.99
    icult
    0.99
    Activations Density 1.086%

    No Known Activations