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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. 4766
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    Explanations

    instances of the word "rule" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to regulatory rules and legal 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
    itate
    -0.87
    ité
    -0.86
    itant
    -0.77
     Bras
    -0.74
     Pradesh
    -0.70
    velength
    -0.69
    acters
    -0.68
     Courier
    -0.66
     Hots
    -0.64
    quished
    -0.63
    POSITIVE LOGITS
    book
    1.25
    books
    1.06
    making
    0.90
    breaker
    0.89
    witz
    0.88
     rule
    0.87
    breakers
    0.86
    maker
    0.85
     breaker
    0.82
    Rule
    0.81
    Activations Density 0.019%

    No Known Activations