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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. 9823
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    Explanations

    proper nouns related to news, journalists, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names associated with articles or reports

    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
    Not in Any Lists

    No Comments

    Negative Logits
    incarn
    -0.82
     (?,
    -0.69
    bands
    -0.68
    fecture
    -0.66
     ç¥ŀ
    -0.65
    safety
    -0.63
    rise
    -0.63
    ãĤ¯
    -0.62
    ãĥ´ãĤ¡
    -0.62
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.62
    POSITIVE LOGITS
     conclud
    0.88
     speculate
    0.85
     concludes
    0.83
     analysed
    0.77
     calculates
    0.77
     quoted
    0.76
     noted
    0.75
     argues
    0.75
     reasoned
    0.75
     summarizes
    0.74
    Activations Density 1.110%

    No Known Activations