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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 11113
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    Explanations

    mentions or references to supermarkets

    oai_token-act-pair · gpt-3.5-turbo

    references to supermarkets and their significance or impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     FY
    -0.80
    Eng
    -0.69
    gression
    -0.66
     Travis
    -0.66
    Percent
    -0.66
     Tribe
    -0.66
     PHI
    -0.65
     Creed
    -0.65
    Thunder
    -0.64
     ELE
    -0.64
    POSITIVE LOGITS
     supermarket
    3.04
     supermarkets
    2.45
     grocer
    1.29
     Tes
    1.14
    Tes
    1.13
    markets
    1.12
     retailer
    1.05
     shoppers
    1.04
     tabloid
    1.03
     bookstore
    1.02
    Activations Density 0.018%

    No Known Activations