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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. 8-RES-JB
    11. 22670
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    Explanations

    references to purchasing items or services and saving money

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases indicating the addition of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    payer
    -0.79
    777
    -0.69
    ocative
    -0.67
    urd
    -0.64
    666
    -0.64
    owitz
    -0.64
    ãĤª
    -0.63
    ament
    -0.62
    ãĤ¯
    -0.61
     Appropri
    -0.61
    POSITIVE LOGITS
     secondly
    1.30
     luckily
    1.21
    romeda
    1.11
     then
    1.07
     THEN
    1.07
     wondered
    1.06
     fortunately
    0.96
    ersen
    0.96
     thankfully
    0.93
     hopefully
    0.92
    Activations Density 0.342%

    No Known Activations