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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. 22758
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    Explanations

    locations or references related to Seattle

    oai_token-act-pair · gpt-3.5-turbo

    references to Seattle and its geographical context

    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
     Rouhani
    -1.21
     Gaddafi
    -1.16
     Allaah
    -1.10
     Jindal
    -1.06
    Iran
    -1.04
     Libyan
    -1.04
     Tehran
    -1.01
     Giul
    -0.99
     Hispan
    -0.97
     Tunis
    -0.96
    POSITIVE LOGITS
     Seattle
    1.89
    Seattle
    1.88
     Tacoma
    1.83
     Spokane
    1.63
     Vancouver
    1.43
    Portland
    1.43
     Portland
    1.43
     WA
    1.39
     Pug
    1.39
     Bellev
    1.36
    Activations Density 0.228%

    No Known Activations