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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. 7-RES-JB
    6. 8368
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    INDEX
    Explanations

    dollar amounts in the hundreds of millions

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial amounts in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ework
    -0.70
    onga
    -0.62
    unci
    -0.62
    sole
    -0.62
    soType
    -0.62
    iverpool
    -0.60
    ufact
    -0.59
    stru
    -0.59
    deen
    -0.58
    ailed
    -0.57
    POSITIVE LOGITS
    -$
    1.23
     Billion
    1.06
    million
    1.05
     billion
    1.02
     million
    1.01
    AUD
    0.94
    USD
    0.93
    bil
    0.90
    billion
    0.90
     Million
    0.89
    Activations Density 0.098%

    No Known Activations