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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. 1-RES-JB
    11. 6595
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    Explanations

    words related to people's names, specifically focusing on the last names

    oai_token-act-pair · gpt-3.5-turbo

    names mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãģķ
    -0.90
    а
    -0.80
    istically
    -0.72
    å£
    -0.72
    ivities
    -0.71
    ãĥ³ãĤ¸
    -0.71
    abilia
    -0.69
     <!--
    -0.69
    isation
    -0.67
    RANT
    -0.66
    POSITIVE LOGITS
    yip
    1.05
     Bes
    1.00
    earance
    0.89
    earances
    0.88
    cles
    0.85
    bil
    0.83
     pse
    0.79
    cham
    0.78
     Ago
    0.77
    undai
    0.77
    Activations Density 0.023%

    No Known Activations