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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. 23090
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    Explanations

    large monetary values

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial metrics

    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
    onga
    -0.62
     Beir
    -0.60
    english
    -0.58
     Wid
    -0.58
    netflix
    -0.55
     resemb
    -0.55
    Ô
    -0.55
     Sorce
    -0.54
    ãĤ¡
    -0.54
     Gast
    -0.54
    POSITIVE LOGITS
    million
    1.34
    -$
    1.32
     million
    1.30
    billion
    1.21
     billion
    1.16
     MILL
    1.08
     thousand
    1.06
     Billion
    1.05
     trillion
    1.04
     Million
    1.03
    Activations Density 0.089%

    No Known Activations