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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. 2-RES-JB
    11. 19821
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    Explanations

    phrases inviting someone to join or participate in something

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "Come" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ruff
    -0.82
    uyomi
    -0.77
    benef
    -0.76
    raid
    -0.75
     tiss
    -0.75
    tops
    -0.73
    nesota
    -0.73
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.69
    orthodox
    -0.69
    »Ĵ
    -0.68
    POSITIVE LOGITS
     Knock
    0.88
     Come
    0.83
    Come
    0.80
    leon
    0.75
     Entry
    0.72
     Grande
    0.71
     Ding
    0.70
     Bye
    0.70
     Die
    0.70
     undone
    0.69
    Activations Density 0.014%

    No Known Activations