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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. 6-RES-JB
    11. 16923
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    Explanations

    the word "main."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a primary or main topic within a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Comet
    -0.66
    Ö¼
    -0.65
     Benefit
    -0.64
    »Ĵ
    -0.64
    terday
    -0.64
     Lauder
    -0.63
    aimon
    -0.62
     Emin
    -0.62
    lyak
    -0.61
     Centauri
    -0.61
    POSITIVE LOGITS
    stay
    1.00
    tenance
    0.82
    deck
    0.75
     story
    0.74
     source
    0.73
     theme
    0.73
     picture
    0.70
    theme
    0.70
     arteries
    0.69
    scene
    0.68
    Activations Density 0.009%

    No Known Activations