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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. 16033
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    Explanations

    a mix of terms and abbreviations commonly used in technical fields such as concepts, processing, and electronics

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concepts of perception and skepticism

    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
     slaughtered
    -0.75
     reconc
    -0.74
    ©¶æ
    -0.73
     intest
    -0.72
    externalActionCode
    -0.70
     sober
    -0.67
     dining
    -0.66
     reconciliation
    -0.63
     Skydragon
    -0.63
    Ń·
    -0.62
    POSITIVE LOGITS
    ible
    1.33
    icons
    1.31
    ual
    1.31
    ional
    1.31
    ually
    1.28
    ibles
    1.28
    ibility
    1.26
    ively
    1.24
    acles
    1.24
    ical
    1.15
    Activations Density 0.016%

    No Known Activations