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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. 10-RES-JB
    6. 20100
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    INDEX
    Explanations

    financial figures and references to large amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and monetary amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unci
    -0.68
    warts
    -0.65
     relations
    -0.63
    arkable
    -0.62
     frontline
    -0.61
    igion
    -0.61
     grounding
    -0.61
    aunts
    -0.60
     overshadow
    -0.59
     overcoming
    -0.58
    POSITIVE LOGITS
    -$
    1.33
    /$
    1.22
    USD
    1.22
     MILL
    1.13
     USD
    1.12
     Billion
    1.10
    billion
    1.03
    =$
    1.01
     Million
    1.00
    million
    1.00
    Activations Density 0.101%

    No Known Activations