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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 13157
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    Explanations

    instances where strict rules or regulations are mentioned

    oai_token-act-pair · gpt-3.5-turbo

    references to strict rules or regulations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ilater
    -0.88
    igate
    -0.82
    assies
    -0.76
    ****
    -0.76
    ********
    -0.73
    ovember
    -0.72
     Cork
    -0.71
    ufact
    -0.71
     Islands
    -0.70
    bucks
    -0.69
    POSITIVE LOGITS
     adherence
    1.14
    ures
    1.11
     strict
    1.01
    ness
    0.98
     adherent
    0.91
     scrutiny
    0.90
    nesses
    0.90
     restrictive
    0.88
     enforcement
    0.87
     stringent
    0.82
    Activations Density 0.015%

    No Known Activations