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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. 20230
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    INDEX
    Explanations

    mentions of "Seminary."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of academic institutions, specifically seminaries

    oai_token-act-pair · gpt-3.5-turbo
    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
    Thumbnail
    -0.76
     Strauss
    -0.76
    ACTED
    -0.72
    çĶŁ
    -0.66
     bowling
    -0.65
    ãģį
    -0.62
     RAW
    -0.61
     ballpark
    -0.61
     wellness
    -0.61
    ":"/
    -0.60
    POSITIVE LOGITS
    antics
    1.32
    iph
    1.14
    blance
    1.13
    inar
    1.12
    antic
    1.09
    icol
    1.06
    inary
    1.03
    onyms
    1.01
    mers
    1.00
    antically
    1.00
    Activations Density 0.009%

    No Known Activations