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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. 13661
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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Article" followed by a number

    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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    No Comments

    Negative Logits
    nesota
    -0.70
    cffffcc
    -0.70
    asters
    -0.69
    uits
    -0.68
    nces
    -0.68
    ministic
    -0.67
    rals
    -0.66
    essage
    -0.66
    cffff
    -0.65
     perspect
    -0.65
    POSITIVE LOGITS
     Continued
    1.13
    ICLE
    0.82
    witz
    0.78
    meal
    0.75
     Contin
    0.75
     continues
    0.75
    ual
    0.74
     Articles
    0.74
     CONTIN
    0.73
     reprinted
    0.71
    Activations Density 0.018%

    No Known Activations