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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. 9-RES-JB
    11. 5276
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    Explanations

    words related to large sums of money, particularly in the context of billionaires and millionaires

    oai_token-act-pair · gpt-3.5-turbo

    references to large sums of money, specifically in the billions and millions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivity
    -0.68
    */(
    -0.67
    ifice
    -0.67
     constitu
    -0.67
    ECTION
    -0.64
    ivalry
    -0.63
    icter
    -0.62
     Ober
    -0.62
    ANCE
    -0.61
     exha
    -0.61
    POSITIVE LOGITS
    aires
    1.61
    aire
    1.52
    dollar
    1.31
     dollar
    1.23
    naire
    1.10
     Dollar
    1.10
    ths
    1.04
     dollars
    1.01
    th
    0.89
    thal
    0.85
    Activations Density 0.069%

    No Known Activations