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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. 2-RES-JB
    6. 192
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    Explanations

    the syllable "ao"

    oai_token-act-pair · gpt-4-turbo

    mentions of the word "ao" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific recurring patterns or sound motifs in the text

    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
    Ö¼
    -0.73
     Pilgrim
    -0.66
    Alien
    -0.65
     Ster
    -0.65
     Ashes
    -0.65
     brim
    -0.63
     itch
    -0.63
     ALE
    -0.63
     Frie
    -0.62
    é¾įå¥ij士
    -0.61
    POSITIVE LOGITS
    ao
    1.20
    ji
    1.12
    qua
    1.12
    ÄŁ
    1.03
    zzi
    0.99
    pei
    0.98
    gha
    0.98
    jin
    0.93
    pport
    0.93
    qi
    0.90
    Activations Density 0.009%

    No Known Activations