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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. 9-RES-JB
    11. 1744
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    Explanations

    certain symbols or text patterns occurring in punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly closing parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    haus
    -0.65
    imus
    -0.65
    aban
    -0.65
    zers
    -0.65
    kus
    -0.64
    rogens
    -0.63
    GBT
    -0.60
    romeda
    -0.59
    ral
    -0.59
    eral
    -0.59
    POSITIVE LOGITS
     Flavoring
    0.66
    ————
    0.64
     whereas
    0.57
     whichever
    0.57
     implying
    0.56
    selves
    0.56
    ordable
    0.55
    google
    0.54
    [
    0.53
    some
    0.53
    Activations Density 0.105%

    No Known Activations