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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 6309
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    Explanations

    proper nouns or terms that may belong to a specific brand or entity

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of brands and disclaimers related to deals or transactions

    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
     folds
    -0.68
     archives
    -0.68
    ctors
    -0.65
     tails
    -0.65
     fry
    -0.63
     circ
    -0.62
     Winc
    -0.62
     fold
    -0.61
     Luxem
    -0.61
     mail
    -0.60
    POSITIVE LOGITS
    Brand
    2.86
    fruit
    1.73
    Disclaimer
    1.68
    currency
    1.47
    deal
    1.45
    Var
    1.12
    ICO
    1.08
    Ho
    1.07
    ruit
    1.01
    ollo
    0.97
    Activations Density 0.048%

    No Known Activations