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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 19137
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    Explanations

    numerical values or quantities mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    comparisons and quantities expressed with "as" or similar phrasing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     secondly
    -0.61
     obligation
    -0.61
     additionally
    -0.59
     whatsoever
    -0.56
     unlaw
    -0.56
    IVES
    -0.55
    sworth
    -0.54
    smith
    -0.54
    ibl
    -0.53
     Bros
    -0.53
    POSITIVE LOGITS
     low
    1.16
     high
    1.05
    low
    1.03
    phy
    1.01
    ym
    0.99
    little
    0.98
     little
    0.96
    Low
    0.90
    ynchron
    0.89
     much
    0.88
    Activations Density 0.100%

    No Known Activations