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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. 4-RES-JB
    6. 5327
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    INDEX
    Explanations

    instances of the word "rules" with an activation level of 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    references to regulations or guidelines

    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
    ience
    -0.86
     experien
    -0.77
    itate
    -0.72
    aged
    -0.70
    issance
    -0.68
    ONSORED
    -0.68
     Bras
    -0.68
    apest
    -0.67
    ienced
    -0.66
     Gothic
    -0.63
    POSITIVE LOGITS
     governing
    1.07
     lawy
    0.97
     Enforcement
    0.96
    breakers
    0.92
    book
    0.90
     enforcement
    0.90
     rules
    0.88
     violations
    0.87
    breaker
    0.84
    books
    0.83
    Activations Density 0.024%

    No Known Activations